International Journal of Performance Arts and Digital Media
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SCImago
Q1
Impact factor
0.8
SJR
0.428
CiteScore
1.7
Categories
Visual Arts and Performing Arts
Communication
Areas
Arts and Humanities
Social Sciences
Years of issue
2005-2025
journal names
International Journal of Performance Arts and Digital Media
INT J PERF ART DIGIT
Top-3 citing journals

International Journal of Performance Arts and Digital Media
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University of Salford
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Queensland University of Technology
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Most cited in 5 years
Found
Publications found: 15242

A Pilot Study of Lenalidomide Maintenance Therapy after Autologous Transplantation in Relapsed or Refractory Classical Hodgkin Lymphoma
Shea L., Watkins M.P., Wan F., Cashen A.F., Wagner-Johnston N.D., Jacoby M.A., Abboud C.N., Dipersio J.F., Hurd D.D., Jaglowski S.M., Bartlett N.L., Fehniger T.A.
For patients with relapsed or refractory classical Hodgkin lymphoma (cHL), salvage chemotherapy followed by consolidation with autologous stem cell transplant (ASCT) remains the standard of care. Even with this aggressive treatment strategy, 5-year progression-free survival is ≤50%, and there remains interest in maintenance strategies to improve long-term disease-free survival. Lenalidomide is an immunomodulatory agent with demonstrated activity in multiple subtypes of lymphoma including cHL, and has also been shown to improve both progression-free and overall survival as maintenance therapy after ASCT in multiple myeloma. This multicenter study evaluated maintenance lenalidomide after ASCT for patients with cHL. Patients were enrolled 60 to 90 days post-transplant and received oral lenalidomide on days 1 to 28 of 28-day cycles for a maximum of 18 cycles. Lenalidomide was started at 15 mg daily and increased to maximum of 25 mg daily if tolerated. The primary objective of this study was to assess the feasibility of this regimen, with a goal

Early Mixed Lymphoid Donor/Host Chimerism is Associated with Improved Transplant Outcome in Patients with Primary or Secondary Myelofibrosis
Deeg H.J., Salit R.B., Monahan T., Schoch G., McFarland C., Scott B.L., Storer B.E.
We investigated risk factors for the development of mixed chimerism in 131 patients who underwent transplantation for myelofibrosis and determined the impact of lymphoid (CD3+) and myeloid (CD33+) chimerism on transplant outcome. Disease risk included DIPSS plus categories low to high. The median patient age was 58 years. Patients were conditioned with high-intensity (myeloablative) or low/reduced-intensity (nonmyeloablative) regimens and received a transplant from a related or unrelated donor. Mixed CD3+ chimerism was observed earlier after HCT, whereas CD33+ chimerism occurred later. Mixed chimerism was more frequent with low-intensity regimens than with high- intensity regimens. Mixed CD3+ chimerism did not lead to graft failure and was associated with a reduced incidence of acute GVHD and improved overall survival (OS) and relapse-free survival, whereas mixed CD33+ chimerism was associated with an increased incidence of relapse and reduced OS and relapse-free survival, independent of the CD34+ cell dose transplanted. Thus, mixed CD3+ chimerism in patients with myelofibrosis had a favorable impact on transplantation outcome and does not require therapeutic interventions.

Incidence and Outcome of Late Relapse after Allogeneic Stem Cell Transplantation for Myelofibrosis
Atagunduz I.K., Christopeit M., Ayuk F., Zeck G., Wolschke C., Kröger N.
In this cross-sectional study, we retrospectively evaluated the files of 227 patients with myelofibrosis who underwent transplantation between 1994 and 2015 for relapse later than 5 years after allogeneic stem cell transplantation (SCT). A total of 94 patients who were alive and in remission at 5 years were identified with follow-up of at least 5 years (median, 9.15 years) after SCT. Thirteen patients (14%) experienced late molecular (n = 6) or hematologic (n = 7) relapse at a median of 7.1 years while 81 patients did not experience relapse. Relapse patients received either donor lymphocyte infusion (DLI) (n = 7) and/or second transplantation (n = 4). Of those, 72.7% achieved again full donor cell chimerism and molecular remission, and after a median follow-up of 45 months, the 3-year overall survival rates for patients with or without relapse were 90.9% (95% confidence interval [CI], 77% to 100%) and 98.8% (95% CI, 96% to 100%), respectively (P = .13). We conclude that late relapse occurs in about 14% of the patients and the majority can be successfully salvaged with DLI and/or second allograft. All patients with molecular relapse are alive and support the long-time molecular monitoring in myelofibrosis patients after allogeneic SCT.

Individuals, Boundaries, and Graft-versus-Host Disease
Deeg H.J.
Hematopoietic cell transplantation generates new individuals, transplant chimeras, composed of 2 genetic partners—the patient and donor-derived cells—no longer restricted by their original genomes. Interactions of donor-derived and recipient cells occur prominently at the boundary of the recipient with a third partner, the microbiome, in particular skin and intestinal tract, leading to disruption of microbiome homeostasis. These interactions of donor and patient cells at the boundary set the stage for the development of graft-versus-host disease, an expression of the defense of individuality by recipient and donor. Establishment of tolerance and return of homeostasis at the boundary will allow for the survival of the new integrated, physiologic individual.

Outcomes with Autologous or Allogeneic Stem Cell Transplantation in Patients with Plasma Cell Leukemia in the Era of Novel Agents
Lemieux C., Johnston L.J., Lowsky R., Muffly L.S., Craig J.K., Shiraz P., Rezvani A., Frank M.J., Weng W., Meyer E., Shizuru J., Arai S., Negrin R., Miklos D.B., Sidana S.
Plasma cell leukemia (PCL) is a rare and very aggressive plasma cell disorder. The optimal treatment approach, including whether to pursue an autologous (auto) or allogeneic (allo) stem cell transplantation (SCT) is not clear, given the lack of clinical trial-based evidence. This single-center retrospective study describes the outcomes of 16 patients with PCL (n = 14 with primary PCL) who underwent either autoSCT (n = 9) or alloSCT (n = 7) for PCL in the era of novel agents, between 2007 and 2019. The median age of the cohort was 58 years. High-risk cytogenetics were found in 50% of the patients. All patients received a proteasome inhibitor and/or immunomodulatory drug-based regimen before transplantation. At the time of transplantation, 10 patients (62%) obtained at least a very good partial response (VGPR). The response after autoSCT (3 months) was at least a VGPR in 6 patients (67%; complete response [CR] in 5). All patients undergoing alloSCT achieved a CR at 3 months. Maintenance therapy was provided to 5 patients (56%) after autoSCT. The median progression-free survival after transplantation was 6 months in the autoSCT group, compared with 18 months in the alloSCT group (P = .09), and median overall survival (OS) after transplantation in the 2 groups was 19 months and 40 months, respectively (P = .41). The median OS from diagnosis was 27 months and 49 months, respectively (P = .50). Of the 11 deaths, 10 patients (91%) died of relapsed disease. AlloSCT was not observed to offer any significant survival advantage over autoSCT in PCL, in agreement with recent reports, and relapse remains the primary cause of death in these patients.

Guidelines for Cord Blood Unit Selection
Politikos I., Davis E., Nhaissi M., Wagner J.E., Brunstein C.G., Cohen S., Shpall E.J., Milano F., Scaradavou A., Barker J.N.
Optimal cord blood (CB) unit selection is critical to maximize the likelihood of successful engraftment and survival after CB transplantation (CBT). However, unit selection can be complex because multiple characteristics must be considered including unit cell dose, donor-recipient human leukocyte antigen (HLA) match, and unit quality. This review provides evidence-based and experience-based comprehensive guidelines for CB unit selection. Topics addressed include the use of both the TNC and the CD34+ cell dose, as well as the CD34+ cell to TNC content ratio to evaluate unit progenitor cell content and engraftment potential, the acceptable TNC and CD34+ cell dose criteria that define an adequate single-unit graft, and the indication and acceptable cell dose criteria for double-unit grafts. The acceptable criteria for 6-loci (HLA-A, -B antigen, -DRB1 allele) and 8-allele (HLA-A, -B, -C, -DRB1) donor-recipient HLA match, the evaluation of patients with donor-specific HLA antibodies, and the multiple determinants of unit quality are also reviewed in detail. Finally, a practical step-by-step guide to CB searches and the principles that guide ultimate graft selection are outlined.

Table of Contents
Biology of Blood and Marrow Transplantation
,
2020
,
citations by CoLab: 0


Outcomes of Autologous Stem Cell Transplant Consolidation in Primary Central Nervous System Lymphoma: A Mayo Clinic Experience
Khurana A., Micallef I.N., LaPlant B.R., Patrick O’Neill B., Habermann T.M., Ansell S.M., Inwards D.J., Porrata L.F., Paludo J., Bisneto J.C., Johnston P.B.
A paucity of randomized phase III clinical trials in primary central nervous system lymphoma (PCNSL) has resulted in no uniform consensus on the optimal strategy for consolidation and conditioning regimens for autologous stem cell transplant (ASCT). The past 2 decades have witnessed a preference for thiotepa (TT)-based conditioning regimens due to superior central nervous system penetration. We retrospectively evaluated outcomes of patients with PCNSL who underwent ASCT at Mayo Clinic, Rochester over the past 2 decades, and the impact of TT-based conditioning regimens. Fifty-six patients underwent transplant for PCNSL, with 25 and 31 patients receiving BEAM (non-thiotepa) and carmustine (BCNU)/TT-based conditioning, respectively. All patients received high-dose methotrexate-based induction therapy. While the BCNU/TT group had higher risk disease features such as high International Extranodal Lymphoma Study Group prognostic score, elevated cerebrospinal fluid protein, and older patient population, there was no significant difference at 2 years post-transplant in progression-free survival (BEAM 68.0% [46.1% to 82.5%] versus BCNU/TT, 65.5% [45.2% to 79.8%], P = .99) or overall survival (OS) (84.0% [62.8% to 93.7%] in the BEAM group versus 81.6% [61.3% to 91.9%] in the BCNU/TT group, P = .95). Disease response status before transplant significantly affected the outcomes as those in complete remission had an OS at 2 years post-transplant of 94.7% (68.1% to 99.2%) in the BEAM group and 90.5% (67.0% to 97.5%) in the BCNU/TT group compared with those in partial response, 57.1% (17.2% to 83.7%) in BCNU/TT group and 50.0% (11.1% to 80.4%) in the BEAM group, respectively (P

Goal-Oriented Monitoring of Cyclosporine Is Effective for Graft-versus-Host Disease Prevention after Hematopoietic Stem Cell Transplantation in Sickle Cell Disease and Thalassemia Major
Gauthier A., Bleyzac N., Garnier N., Kebaili K., Joly P., Goutagny M., Mollet I., Goutelle S., Renard C., Bertrand Y.
Abstract Graft-versus-host disease (GVHD) is an important challenge and a major cause of morbidity and mortality in children after hematopoietic stem cell transplant (HSCT). Herein we report our institution's experience of goal-oriented Bayesian monitoring for cyclosporine (CsA) used alone as GVHD prophylaxis during the post-transplant period in pediatric patients with thalassemia major (TM) or sickle cell anemia (SCA) undergoing HLA-matched HSCT. We also studied evolution of chimerism. Twenty-six consecutive patients (SCA, 14; TM, 12) underwent matched sibling donor (MSD) HSCT from 2004 to 2014. All patients received a myeloablative conditioning regimen. GVHD prophylaxis consisted of 20 mg/kg antithymocyte globulin in the conditioning regimens and then CsA alone in the post-transplant period. Target CsA trough blood concentration (TBC) was 150 ± 20 ng/mL. At last follow-up, all patients were alive and free of disease, even in cases of mixed chimerism. Engraftment occurred in all patients. No patient developed grades II to IV acute GVHD, 4 patients developed acute grade I skin GVHD, and only 1 presented with chronic pulmonary GVHD. A better control of GVHD and immunosuppression by a strict monitoring of CsA TBC as described herein is promising and could play a crucial role. Further investigations are required, but this study opens new perspectives to improve survival and safety of HSCT from alternative donors in TM and SCA to levels compatible with that obtained with MSDs.

Peritransplantation Use of Ruxolitinib in Myelofibrosis
Ibrahim U., Petrone G.E., Mascarenhas J., Keyzner A.
Ruxolitinib is an oral JAK1/2 inhibitor that is approved for use in patients with intermediate and high-risk myelofibrosis (MF) based on its proven spleen and symptom burden reduction. Its impact on hematopoietic stem cell transplantation (HSCT) outcomes is largely unknown, however. A significant number of patients proceeding to HSCT have been treated with ruxolitinib, and the specifics of its peritransplantation use vary widely in the published literature. Here we review the currently published data and experience to guide management of patients with MF on ruxolitinib proceeding to HSCT.

Real-World Issues and Potential Solutions in Hematopoietic Cell Transplantation during the COVID-19 Pandemic: Perspectives from the Worldwide Network for Blood and Marrow Transplantation and Center for International Blood and Marrow Transplant Research Health Services and International Studies Committee
Algwaiz G., Aljurf M., Koh M., Horowitz M.M., Ljungman P., Weisdorf D., Saber W., Kodera Y., Szer J., Jawdat D., Wood W.A., Brazauskas R., Lehmann L., Pasquini M.C., Seber A., et. al.
ABSTRACT The current COVID-19 pandemic, caused by SARS-CoV-2, has impacted many facets of hematopoietic cell transplantation (HCT) in both developed and developing countries. Realizing the challenges as a result of this pandemic affecting the daily practice of the HCT centers and the recognition of the variability in practice worldwide, the Worldwide Network for Blood and Marrow Transplantation (WBMT) and the Center for International Blood and Marrow Transplant Research's (CIBMTR) Health Services and International Studies Committee have jointly produced an expert opinion statement as a general guide to deal with certain aspects of HCT, including diagnostics for SARS-CoV-2 in HCT recipient, pre- and post-HCT management, donor issues, medical tourism, and facilities management. During these crucial times, which may last for months or years, the HCT community must reorganize to proceed with transplantation activity in those patients who urgently require it, albeit with extreme caution. This shared knowledge may be of value to the HCT community in the absence of high-quality evidence-based medicine. © 2020 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.

Propylene Glycol-Free Melphalan versus PG-Melphalan as Conditioning for Autologous Hematopoietic Cell Transplantation for Myeloma
Monahan K., Kleman A., Thapa B., Szabo A., D'Souza A., Dhakal B., Jerkins J.H., Pasquini M.C., Hamadani M., Hari P.N., Chhabra S.
High-dose melphalan (Mel) conditioning before autologous hematopoietic cell transplantation (autoHCT) is standard of care for patients with transplantation-eligible multiple myeloma. The traditional lyophilized Mel formulation has inadequate solubility and stability after reconstitution, leading to the use of propylene glycol (PG) as a solubilizing agent. A newer PG-free Mel preparation (Evomela) uses beta cyclodextrin captisol as a solubilizing agent and was approved by the United States Food and Drug Administration as a conditioning agent based on a single-phase IIb study showing bioequivalence. We compared the outcomes of consecutive patients with myeloma undergoing autoHCT using the 2 formulations of Mel for conditioning as our center switched from using the older formulation (PG-Mel) to the newer one (PGF-Mel). Of 294 autoHCT recipients, 162 received PG-Mel conditioning and 132 received PGF-Mel conditioning. The PGF-Mel group was older and had a lower average Karnofsky Performance Status score. PGF-Mel was associated with faster neutrophil recovery (median, 12 days versus 13 days; P < .001), fewer grade 3-4 infections within 30 days of autoHCT (1.5% versus 8.0%; P = .048), and a lower 30-day rehospitalization rate (6.8% versus 17.9%; P = .04), as confirmed by propensity-weighted analysis. No significant between-group differences were detected in mucositis, organ toxicity, myeloma response, or 100-day mortality.

Use of Potentially Inappropriate Medications in Older Allogeneic Hematopoietic Cell Transplantation Recipients
Bhargava D., Arora M., DeFor T.E., Brunstein C.G., Thyagarajan B., El Jurdi N., Holtan S.G., Rashidi A., Warlick E., Ramesh V., Rogosheske J., Bhatia S., Weisdorf D.J.
The use of potentially inappropriate medications (PIMs) using Beers criteria and its impact on older allogeneic hematopoietic cell transplantation (HCT) recipients is not known. Here the use of any PIMs and their therapeutic classes in reduced-intensity conditioning allogeneic HCT recipients were compared between older (≥65 years; n = 114) and younger (40 to 64 years; n = 240) patients during their initial HCT admission, defined as the number of days that a patient received 1 or more PIMs between day -14 and day +28. Poisson regression was used to determine rate ratios (RRs) in the 2 groups. In the ≥65 years group, we evaluated the impact of PIMs on Common Terminology Criteria for Adverse Events (CTCAE) grade 3-4 toxicities within 100 days and on overall mortality within 1 year post-HCT. The rate of any PIM use was similar in the older and younger groups (RR, .98; 95% confidence interval [CI], .90 to 1.06; P = .65). In terms of PIM classes, the older group had a 48% higher rate of gastrointestinal (GI) medication use (RR, 1.48; 95% CI, 1.32 to 1.65; P < .01) and a 25% higher rate of genitourinary (GU) medication use (RR, 1.25; 95% CI, 1.02 to 1.53; P = .03). Compared with males, females had a 19% higher rate of central nervous system (CNS) medication use (RR, 1.19; 95% CI, 1.03 to 1.37; P = .02) and a 30% higher rate of benzodiazepine use (RR, 1.30; 95% CI. 1.09 to 1.54; P < .01). A high-risk HCT-CI was associated with a higher rate of use of any PIMs (RR, 1.13; 95% CI, 1.01 to 1.26; P = .02), CNS medications (RR, 1.26; 95% CI, 1.04 to 1.53; P = .02) and GU medications (RR, 1.46; 95% CI, 1.09 to 1.94; P = .01). Compared with matched sibling donor HCT recipients, umbilical cord blood transplantation recipients had higher rates of GI medication use (RR, 1.32; 95% CI, 1.14 to 1.53; P < .01) and anticholinergic medication use (RR, 1.30; 95% CI, 1.06 to 1.61; P = .01). In the ≥65 years group, increasing duration of narcotic use was associated with a 1.3-fold (95% CI, 1.0 to 1.7; P = .05) higher risk of overall mortality and a 1.6-fold (95% CI, 1.02 to 2.69) greater odds of CTCAE grade 3-4 toxicities (P = .04). Our data show that older recipients (≥65 years) were as likely as their younger counterparts to receive PIMs. Among older recipients, the use of PIMs, particularly narcotics, was associated with higher mortality and higher incidence of grade 3-4 toxicities. Identifying and reducing the use of PIMs in older HCT recipients may help decrease the burden of adverse events and associated health care costs.

Clinical and Neuroimaging Correlates of Post-Transplant Delirium
Smith P., Thompson J.C., Perea E., Wasserman B., Bohannon L., Racioppi A., Choi T., Gasparetto C., Horwitz M.E., Long G., Lopez R., Rizzieri D.A., Sarantopoulos S., Sullivan K.M., Chao N.J., et. al.
Delirium is common among adults undergoing hematopoietic stem cell transplantation (HCT), although the clinical and neuroimaging correlates of post-HCT delirium have not been adequately delineated. We therefore examined the frequency of delirium and neuroimaging correlates of post-transplant delirium in a retrospective cohort of 115 adults undergoing neuroimaging after allogeneic HCT. Delirium was established using previously validated methods for retrospective identification of chart-assessed postprocedural delirium. Chart reviews were independently conducted by a multidisciplinary team with expertise in HCT, psychiatry, and psychology on consecutive allogeneic HCT patients who underwent neuroimaging assessments and transplantation at a single center between January 2009 and December 2016. Neuroimaging markers of white matter damage and brain volume loss were also recorded. In total, 115 patients were included, ranging in age from 20 to 74 years (mean [SD] age, 49 [13]). Fifty-three patients (46%) developed post-HCT delirium. In an adjusted model, delirium incidence was associated with older age (odds ratio [OR], 1.92 [1.28, 2.87] per decade, P = .002), greater severity of white matter hyperintensities (OR, 1.95 [1.06, 3.57], P = .031), and conditioning intensity (OR, 6.37 [2.20, 18.45], P < .001) but was unrelated to cortical atrophy (P = .777). Delirium was associated with fewer hospital-free days (P = .023) but was not associated with overall survival (hazard ratio, 0.95 [0.56, 1.61], P = .844). Greater incidence of delirium following HCT was associated with greater age, microvascular burden, and conditioning intensity. Pre-HCT consideration of microvascular burden and other neuroimaging biomarkers of risk may be warranted.

Predicting Survival after Allogeneic Hematopoietic Cell Transplantation in Myelofibrosis: Performance of the Myelofibrosis Transplant Scoring System (MTSS) and Development of a New Prognostic Model
Hernández-Boluda J., Pereira A., Alvarez-Larran A., Martín A., Benzaquen A., Aguirre L., Mora E., González P., Mora J., Dorado N., Sampol A., García-Gutiérrez V., López-Godino O., Fox M., Reguera J.L., et. al.
Accurate prognostic tools are crucial to assess the risk/benefit ratio of allogeneic hematopoietic cell transplantation (allo-HCT) in patients with myelofibrosis (MF). We aimed to evaluate the performance of the Myelofibrosis Transplant Scoring System (MTSS) and identify risk factors for survival in a multicenter series of 197 patients with MF undergoing allo-HCT. After a median follow-up of 3.1 years, 47% of patients had died, and the estimated 5-year survival rate was 51%. Projected 5-year risk of nonrelapse mortality and relapse incidence was 30% and 20%, respectively. Factors independently associated with increased mortality were a hematopoietic cell transplantation-specific comorbidity index (HCT-CI) ≥3 and receiving a graft from an HLA-mismatched unrelated donor or cord blood, whereas post-transplant cyclophosphamide (PT-Cy) was associated with improved survival. Donor type was the only parameter included in the MTSS model with independent prognostic value for survival. According to the MTSS, 3-year survival was 62%, 66%, 37%, and 17% for low-, intermediate-, high-, and very high-risk groups, respectively. By pooling together the low- and intermediate-risk groups, as well as the high- and very high-risk groups, we pinpointed 2 categories: standard risk and high risk (25% of the series). Three-year survival was 62% in standard-risk and 25% in high-risk categories (P We derived a risk score based on the 3 independent risk factors for survival in our series (donor type, HCT-CI, and PT-Cy). The corresponding 5-year survival for the low-, intermediate-, and high-risk categories was 79%, 55%, and 32%, respectively (P In conclusion, the MTSS model failed to clearly delineate 4 prognostic groups in our series but may still be useful to identify a subset of patients with poor outcome. We provide a simple prognostic scoring system for risk/benefit considerations before transplantation in patients with MF.
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Psychoanalysis, Culture & Society
1 citation, 0.11%
|
|
Focaal
1 citation, 0.11%
|
|
Media International Australia
1 citation, 0.11%
|
|
Choreographic Practices
1 citation, 0.11%
|
|
Multimedia Systems
1 citation, 0.11%
|
|
Urban Book Series
1 citation, 0.11%
|
|
International Journal of Human-Computer Interaction
1 citation, 0.11%
|
|
Show all (70 more) | |
10
20
30
40
50
60
70
80
90
100
|
Citing publishers
50
100
150
200
250
300
|
|
Taylor & Francis
264 citations, 28.33%
|
|
Springer Nature
102 citations, 10.94%
|
|
Association for Computing Machinery (ACM)
48 citations, 5.15%
|
|
Elsevier
38 citations, 4.08%
|
|
SAGE
36 citations, 3.86%
|
|
MDPI
24 citations, 2.58%
|
|
Cambridge University Press
22 citations, 2.36%
|
|
Intellect
22 citations, 2.36%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
21 citations, 2.25%
|
|
IGI Global
18 citations, 1.93%
|
|
Emerald
17 citations, 1.82%
|
|
Frontiers Media S.A.
14 citations, 1.5%
|
|
MIT Press
12 citations, 1.29%
|
|
Wiley
10 citations, 1.07%
|
|
Social Science Electronic Publishing
10 citations, 1.07%
|
|
Oxford University Press
7 citations, 0.75%
|
|
Walter de Gruyter
6 citations, 0.64%
|
|
Hindawi Limited
4 citations, 0.43%
|
|
Public Library of Science (PLoS)
3 citations, 0.32%
|
|
SciELO
3 citations, 0.32%
|
|
JMIR Publications
3 citations, 0.32%
|
|
University of Toronto Press Inc. (UTPress)
3 citations, 0.32%
|
|
Vilnius Gediminas Technical University
2 citations, 0.21%
|
|
Consortium Erudit
2 citations, 0.21%
|
|
F1000 Research
2 citations, 0.21%
|
|
Bristol University Press
2 citations, 0.21%
|
|
World Scientific
1 citation, 0.11%
|
|
Ovid Technologies (Wolters Kluwer Health)
1 citation, 0.11%
|
|
John Benjamins Publishing Company
1 citation, 0.11%
|
|
Edinburgh University Press
1 citation, 0.11%
|
|
EDP Sciences
1 citation, 0.11%
|
|
Liverpool University Press
1 citation, 0.11%
|
|
Duke University Press
1 citation, 0.11%
|
|
AIP Publishing
1 citation, 0.11%
|
|
1 citation, 0.11%
|
|
Institute for Operations Research and the Management Sciences (INFORMS)
1 citation, 0.11%
|
|
Acoustical Society of America (ASA)
1 citation, 0.11%
|
|
Index Copernicus
1 citation, 0.11%
|
|
1 citation, 0.11%
|
|
Tsinghua University Press
1 citation, 0.11%
|
|
IOP Publishing
1 citation, 0.11%
|
|
Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego
1 citation, 0.11%
|
|
OpenEdition
1 citation, 0.11%
|
|
AOSIS
1 citation, 0.11%
|
|
Berghahn Books
1 citation, 0.11%
|
|
The Pennsylvania State University Press
1 citation, 0.11%
|
|
Editorial CSIC
1 citation, 0.11%
|
|
Show all (17 more) | |
50
100
150
200
250
300
|
Publishing organizations
1
2
3
4
5
6
7
8
9
|
|
University of Salford
9 publications, 1.81%
|
|
Coventry University
8 publications, 1.61%
|
|
De Montfort University
5 publications, 1.01%
|
|
University of Essex
5 publications, 1.01%
|
|
University of Galway
5 publications, 1.01%
|
|
Kingston University
4 publications, 0.81%
|
|
Queensland University of Technology
4 publications, 0.81%
|
|
Loughborough University
4 publications, 0.81%
|
|
University of Glasgow
4 publications, 0.81%
|
|
University of Western Australia
4 publications, 0.81%
|
|
Trinity College Dublin
4 publications, 0.81%
|
|
Utrecht University
4 publications, 0.81%
|
|
Purdue University
4 publications, 0.81%
|
|
University of Sussex
4 publications, 0.81%
|
|
Bournemouth University
4 publications, 0.81%
|
|
University of Cambridge
3 publications, 0.6%
|
|
University of Edinburgh
3 publications, 0.6%
|
|
New York University
3 publications, 0.6%
|
|
Ludwig Maximilian University of Munich
3 publications, 0.6%
|
|
University of Amsterdam
3 publications, 0.6%
|
|
University of Leeds
3 publications, 0.6%
|
|
Louisiana State University
3 publications, 0.6%
|
|
University of Greenwich
3 publications, 0.6%
|
|
University of Malta
3 publications, 0.6%
|
|
Free University of Berlin
2 publications, 0.4%
|
|
University of Bern
2 publications, 0.4%
|
|
Brunel University London
2 publications, 0.4%
|
|
University of Oxford
2 publications, 0.4%
|
|
King's College London
2 publications, 0.4%
|
|
City, University of London
2 publications, 0.4%
|
|
Manchester Metropolitan University
2 publications, 0.4%
|
|
University of Nottingham
2 publications, 0.4%
|
|
University of Queensland
2 publications, 0.4%
|
|
Deakin University
2 publications, 0.4%
|
|
Macquarie University
2 publications, 0.4%
|
|
Southern Cross University
2 publications, 0.4%
|
|
City University of Hong Kong
2 publications, 0.4%
|
|
Ohio State University
2 publications, 0.4%
|
|
University at Buffalo, State University of New York
2 publications, 0.4%
|
|
Newcastle University
2 publications, 0.4%
|
|
Aberystwyth University
2 publications, 0.4%
|
|
National and Kapodistrian University of Athens
2 publications, 0.4%
|
|
Aristotle University of Thessaloniki
2 publications, 0.4%
|
|
National Autonomous University of Mexico
2 publications, 0.4%
|
|
Virginia Commonwealth University
2 publications, 0.4%
|
|
Nihon University
2 publications, 0.4%
|
|
NOVA University Lisbon
2 publications, 0.4%
|
|
Texas A&M University
2 publications, 0.4%
|
|
University of Huddersfield
2 publications, 0.4%
|
|
University of Hull
2 publications, 0.4%
|
|
University of Brighton
2 publications, 0.4%
|
|
Technological University Dublin
2 publications, 0.4%
|
|
Universidad de Chile
2 publications, 0.4%
|
|
University of Missouri
2 publications, 0.4%
|
|
Concordia University
2 publications, 0.4%
|
|
Université de Montréal
2 publications, 0.4%
|
|
Volkswagen Group
1 publication, 0.2%
|
|
Jamia Millia Islamia
1 publication, 0.2%
|
|
Kadir Has University
1 publication, 0.2%
|
|
Tel Aviv University
1 publication, 0.2%
|
|
University of Genoa
1 publication, 0.2%
|
|
University of Lisbon
1 publication, 0.2%
|
|
Humboldt University of Berlin
1 publication, 0.2%
|
|
ETH Zurich
1 publication, 0.2%
|
|
Lulea University of Technology
1 publication, 0.2%
|
|
Malmö University
1 publication, 0.2%
|
|
Sapienza University of Rome
1 publication, 0.2%
|
|
Aalto University
1 publication, 0.2%
|
|
Zurich University of the Arts
1 publication, 0.2%
|
|
University of New South Wales
1 publication, 0.2%
|
|
Delft University of Technology
1 publication, 0.2%
|
|
University of Technology Sydney
1 publication, 0.2%
|
|
University of Turin
1 publication, 0.2%
|
|
University College London
1 publication, 0.2%
|
|
Durham University
1 publication, 0.2%
|
|
Queen Mary University of London
1 publication, 0.2%
|
|
University of Warwick
1 publication, 0.2%
|
|
Norwegian University of Science and Technology
1 publication, 0.2%
|
|
Liverpool John Moores University
1 publication, 0.2%
|
|
Aarhus University
1 publication, 0.2%
|
|
Royal Holloway University of London
1 publication, 0.2%
|
|
University of Antwerp
1 publication, 0.2%
|
|
Sorbonne University
1 publication, 0.2%
|
|
Edinburgh Napier University
1 publication, 0.2%
|
|
Nottingham Trent University
1 publication, 0.2%
|
|
Florida State University
1 publication, 0.2%
|
|
Massachusetts Institute of Technology
1 publication, 0.2%
|
|
National University of Singapore
1 publication, 0.2%
|
|
Birmingham City University
1 publication, 0.2%
|
|
University of Birmingham
1 publication, 0.2%
|
|
Yale University
1 publication, 0.2%
|
|
University of Ferrara
1 publication, 0.2%
|
|
University of Urbino
1 publication, 0.2%
|
|
Victoria University of Wellington
1 publication, 0.2%
|
|
Auckland University of Technology
1 publication, 0.2%
|
|
Charles University
1 publication, 0.2%
|
|
Griffith University
1 publication, 0.2%
|
|
University of South Australia
1 publication, 0.2%
|
|
University of Tasmania
1 publication, 0.2%
|
|
Sebelas Maret University
1 publication, 0.2%
|
|
Show all (70 more) | |
1
2
3
4
5
6
7
8
9
|
Publishing organizations in 5 years
1
2
3
4
5
6
7
|
|
University of Salford
7 publications, 3.66%
|
|
Coventry University
6 publications, 3.14%
|
|
Queensland University of Technology
4 publications, 2.09%
|
|
Kingston University
3 publications, 1.57%
|
|
Loughborough University
3 publications, 1.57%
|
|
Trinity College Dublin
3 publications, 1.57%
|
|
Louisiana State University
3 publications, 1.57%
|
|
University of Greenwich
3 publications, 1.57%
|
|
Bournemouth University
3 publications, 1.57%
|
|
University of Galway
3 publications, 1.57%
|
|
Free University of Berlin
2 publications, 1.05%
|
|
University of Bern
2 publications, 1.05%
|
|
Brunel University London
2 publications, 1.05%
|
|
University of Oxford
2 publications, 1.05%
|
|
University of Cambridge
2 publications, 1.05%
|
|
City, University of London
2 publications, 1.05%
|
|
University of Edinburgh
2 publications, 1.05%
|
|
Ohio State University
2 publications, 1.05%
|
|
National and Kapodistrian University of Athens
2 publications, 1.05%
|
|
Aristotle University of Thessaloniki
2 publications, 1.05%
|
|
Ludwig Maximilian University of Munich
2 publications, 1.05%
|
|
Utrecht University
2 publications, 1.05%
|
|
Purdue University
2 publications, 1.05%
|
|
Virginia Commonwealth University
2 publications, 1.05%
|
|
Nihon University
2 publications, 1.05%
|
|
De Montfort University
2 publications, 1.05%
|
|
Texas A&M University
2 publications, 1.05%
|
|
University of Brighton
2 publications, 1.05%
|
|
University of Malta
2 publications, 1.05%
|
|
Technological University Dublin
2 publications, 1.05%
|
|
Volkswagen Group
1 publication, 0.52%
|
|
Kadir Has University
1 publication, 0.52%
|
|
Tel Aviv University
1 publication, 0.52%
|
|
University of Genoa
1 publication, 0.52%
|
|
University of Lisbon
1 publication, 0.52%
|
|
Humboldt University of Berlin
1 publication, 0.52%
|
|
Lulea University of Technology
1 publication, 0.52%
|
|
Malmö University
1 publication, 0.52%
|
|
Sapienza University of Rome
1 publication, 0.52%
|
|
Aalto University
1 publication, 0.52%
|
|
Zurich University of the Arts
1 publication, 0.52%
|
|
Delft University of Technology
1 publication, 0.52%
|
|
University of Technology Sydney
1 publication, 0.52%
|
|
University of Turin
1 publication, 0.52%
|
|
University College London
1 publication, 0.52%
|
|
Durham University
1 publication, 0.52%
|
|
Queen Mary University of London
1 publication, 0.52%
|
|
University of Warwick
1 publication, 0.52%
|
|
Liverpool John Moores University
1 publication, 0.52%
|
|
King's College London
1 publication, 0.52%
|
|
Royal Holloway University of London
1 publication, 0.52%
|
|
Sorbonne University
1 publication, 0.52%
|
|
Edinburgh Napier University
1 publication, 0.52%
|
|
Manchester Metropolitan University
1 publication, 0.52%
|
|
University of Nottingham
1 publication, 0.52%
|
|
Massachusetts Institute of Technology
1 publication, 0.52%
|
|
Birmingham City University
1 publication, 0.52%
|
|
University of Glasgow
1 publication, 0.52%
|
|
University of Urbino
1 publication, 0.52%
|
|
Auckland University of Technology
1 publication, 0.52%
|
|
Charles University
1 publication, 0.52%
|
|
University of Queensland
1 publication, 0.52%
|
|
University of Western Australia
1 publication, 0.52%
|
|
Deakin University
1 publication, 0.52%
|
|
Macquarie University
1 publication, 0.52%
|
|
University of South Australia
1 publication, 0.52%
|
|
University of Tasmania
1 publication, 0.52%
|
|
Southern Cross University
1 publication, 0.52%
|
|
Sebelas Maret University
1 publication, 0.52%
|
|
State University of Malang
1 publication, 0.52%
|
|
State University of Medan
1 publication, 0.52%
|
|
Washington University in St. Louis
1 publication, 0.52%
|
|
Northwestern University
1 publication, 0.52%
|
|
Hong Kong University of Science and Technology
1 publication, 0.52%
|
|
Harvard University
1 publication, 0.52%
|
|
University of California, Santa Cruz
1 publication, 0.52%
|
|
Aberystwyth University
1 publication, 0.52%
|
|
University of Texas at Dallas
1 publication, 0.52%
|
|
University of South Florida
1 publication, 0.52%
|
|
National Technical University of Athens
1 publication, 0.52%
|
|
Hellenic Open University
1 publication, 0.52%
|
|
University of Crete
1 publication, 0.52%
|
|
Hasselt University
1 publication, 0.52%
|
|
Lancaster University
1 publication, 0.52%
|
|
Queen's University at Kingston
1 publication, 0.52%
|
|
Albert Ludwig University of Freiburg
1 publication, 0.52%
|
|
Mainz University of Applied Sciences
1 publication, 0.52%
|
|
Goethe University Frankfurt
1 publication, 0.52%
|
|
University of Konstanz
1 publication, 0.52%
|
|
University of Passau
1 publication, 0.52%
|
|
University of Kaiserslautern-Landau
1 publication, 0.52%
|
|
Bauhaus University Weimar
1 publication, 0.52%
|
|
University of Amsterdam
1 publication, 0.52%
|
|
Leeds Beckett University
1 publication, 0.52%
|
|
University of Vienna
1 publication, 0.52%
|
|
University of Graz
1 publication, 0.52%
|
|
Open University of Catalonia
1 publication, 0.52%
|
|
University of Coimbra
1 publication, 0.52%
|
|
NOVA University Lisbon
1 publication, 0.52%
|
|
University of Pennsylvania
1 publication, 0.52%
|
|
Show all (70 more) | |
1
2
3
4
5
6
7
|
Publishing countries
20
40
60
80
100
120
140
|
|
United Kingdom
|
United Kingdom, 124, 25%
United Kingdom
124 publications, 25%
|
USA
|
USA, 55, 11.09%
USA
55 publications, 11.09%
|
Australia
|
Australia, 17, 3.43%
Australia
17 publications, 3.43%
|
Canada
|
Canada, 15, 3.02%
Canada
15 publications, 3.02%
|
Germany
|
Germany, 13, 2.62%
Germany
13 publications, 2.62%
|
Ireland
|
Ireland, 13, 2.62%
Ireland
13 publications, 2.62%
|
Netherlands
|
Netherlands, 8, 1.61%
Netherlands
8 publications, 1.61%
|
Greece
|
Greece, 6, 1.21%
Greece
6 publications, 1.21%
|
Italy
|
Italy, 6, 1.21%
Italy
6 publications, 1.21%
|
Portugal
|
Portugal, 5, 1.01%
Portugal
5 publications, 1.01%
|
Switzerland
|
Switzerland, 5, 1.01%
Switzerland
5 publications, 1.01%
|
France
|
France, 4, 0.81%
France
4 publications, 0.81%
|
Poland
|
Poland, 4, 0.81%
Poland
4 publications, 0.81%
|
Singapore
|
Singapore, 4, 0.81%
Singapore
4 publications, 0.81%
|
China
|
China, 3, 0.6%
China
3 publications, 0.6%
|
Austria
|
Austria, 3, 0.6%
Austria
3 publications, 0.6%
|
Indonesia
|
Indonesia, 3, 0.6%
Indonesia
3 publications, 0.6%
|
Malta
|
Malta, 3, 0.6%
Malta
3 publications, 0.6%
|
Japan
|
Japan, 3, 0.6%
Japan
3 publications, 0.6%
|
Belgium
|
Belgium, 2, 0.4%
Belgium
2 publications, 0.4%
|
Spain
|
Spain, 2, 0.4%
Spain
2 publications, 0.4%
|
Mexico
|
Mexico, 2, 0.4%
Mexico
2 publications, 0.4%
|
New Zealand
|
New Zealand, 2, 0.4%
New Zealand
2 publications, 0.4%
|
Norway
|
Norway, 2, 0.4%
Norway
2 publications, 0.4%
|
Finland
|
Finland, 2, 0.4%
Finland
2 publications, 0.4%
|
Chile
|
Chile, 2, 0.4%
Chile
2 publications, 0.4%
|
Sweden
|
Sweden, 2, 0.4%
Sweden
2 publications, 0.4%
|
Estonia
|
Estonia, 1, 0.2%
Estonia
1 publication, 0.2%
|
Argentina
|
Argentina, 1, 0.2%
Argentina
1 publication, 0.2%
|
Denmark
|
Denmark, 1, 0.2%
Denmark
1 publication, 0.2%
|
Egypt
|
Egypt, 1, 0.2%
Egypt
1 publication, 0.2%
|
Israel
|
Israel, 1, 0.2%
Israel
1 publication, 0.2%
|
India
|
India, 1, 0.2%
India
1 publication, 0.2%
|
Iraq
|
Iraq, 1, 0.2%
Iraq
1 publication, 0.2%
|
Kenya
|
Kenya, 1, 0.2%
Kenya
1 publication, 0.2%
|
San Marino
|
San Marino, 1, 0.2%
San Marino
1 publication, 0.2%
|
Turkey
|
Turkey, 1, 0.2%
Turkey
1 publication, 0.2%
|
Czech Republic
|
Czech Republic, 1, 0.2%
Czech Republic
1 publication, 0.2%
|
South Africa
|
South Africa, 1, 0.2%
South Africa
1 publication, 0.2%
|
Show all (9 more) | |
20
40
60
80
100
120
140
|
Publishing countries in 5 years
10
20
30
40
50
60
70
|
|
United Kingdom
|
United Kingdom, 67, 35.08%
United Kingdom
67 publications, 35.08%
|
USA
|
USA, 30, 15.71%
USA
30 publications, 15.71%
|
Germany
|
Germany, 11, 5.76%
Germany
11 publications, 5.76%
|
Canada
|
Canada, 11, 5.76%
Canada
11 publications, 5.76%
|
Ireland
|
Ireland, 9, 4.71%
Ireland
9 publications, 4.71%
|
Australia
|
Australia, 8, 4.19%
Australia
8 publications, 4.19%
|
Greece
|
Greece, 5, 2.62%
Greece
5 publications, 2.62%
|
Italy
|
Italy, 5, 2.62%
Italy
5 publications, 2.62%
|
Portugal
|
Portugal, 4, 2.09%
Portugal
4 publications, 2.09%
|
Netherlands
|
Netherlands, 4, 2.09%
Netherlands
4 publications, 2.09%
|
Switzerland
|
Switzerland, 4, 2.09%
Switzerland
4 publications, 2.09%
|
Indonesia
|
Indonesia, 3, 1.57%
Indonesia
3 publications, 1.57%
|
Poland
|
Poland, 3, 1.57%
Poland
3 publications, 1.57%
|
Austria
|
Austria, 2, 1.05%
Austria
2 publications, 1.05%
|
Malta
|
Malta, 2, 1.05%
Malta
2 publications, 1.05%
|
Finland
|
Finland, 2, 1.05%
Finland
2 publications, 1.05%
|
Sweden
|
Sweden, 2, 1.05%
Sweden
2 publications, 1.05%
|
Japan
|
Japan, 2, 1.05%
Japan
2 publications, 1.05%
|
France
|
France, 1, 0.52%
France
1 publication, 0.52%
|
Estonia
|
Estonia, 1, 0.52%
Estonia
1 publication, 0.52%
|
China
|
China, 1, 0.52%
China
1 publication, 0.52%
|
Belgium
|
Belgium, 1, 0.52%
Belgium
1 publication, 0.52%
|
Israel
|
Israel, 1, 0.52%
Israel
1 publication, 0.52%
|
Iraq
|
Iraq, 1, 0.52%
Iraq
1 publication, 0.52%
|
Spain
|
Spain, 1, 0.52%
Spain
1 publication, 0.52%
|
Kenya
|
Kenya, 1, 0.52%
Kenya
1 publication, 0.52%
|
New Zealand
|
New Zealand, 1, 0.52%
New Zealand
1 publication, 0.52%
|
Singapore
|
Singapore, 1, 0.52%
Singapore
1 publication, 0.52%
|
Turkey
|
Turkey, 1, 0.52%
Turkey
1 publication, 0.52%
|
Czech Republic
|
Czech Republic, 1, 0.52%
Czech Republic
1 publication, 0.52%
|
Chile
|
Chile, 1, 0.52%
Chile
1 publication, 0.52%
|
South Africa
|
South Africa, 1, 0.52%
South Africa
1 publication, 0.52%
|
Show all (2 more) | |
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