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Evolution, Medicine and Public Health
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SCImago
Q1
WOS
Q1
Impact factor
3.3
SJR
0.850
CiteScore
5.4
Categories
Ecology, Evolution, Behavior and Systematics
Health, Toxicology and Mutagenesis
Medicine (miscellaneous)
Areas
Agricultural and Biological Sciences
Environmental Science
Medicine
Years of issue
2013-2025
journal names
Evolution, Medicine and Public Health
EVOL MED PUBLIC HLTH
Top-3 citing journals

Evolution, Medicine and Public Health
(228 citations)

American Journal of Human Biology
(155 citations)

Scientific Reports
(97 citations)
Top-3 organizations

Duke University
(26 publications)

Arizona State University
(23 publications)

Pennsylvania State University
(14 publications)

Duke University
(14 publications)

Simon Fraser University
(9 publications)

University College London
(9 publications)
Top-3 countries
Most cited in 5 years
Found
Publications found: 311
Q3

Validation and implementation of an intraoperative parathyroid hormone assay and workflow: practical advice for endocrine surgery centres
Staibano P., Ahmed B., Ivica J., Macri J., Au M., Zhang H., Pasternak J.D., Bhandari M., Kavsak P.
Abstract
Objectives
Intraoperative PTH (IOPTH) can be challenging to offer through central laboratories despite its clinical benefit. We describe the implementation of a central laboratory-based IOPTH assay and workflow in a tertiary care centre.
Methods
The Elecsys® PTH STAT assay was assessed in EDTA plasma on the Cobas® e411 analyzer. Assay validation included precision, linearity, coefficient of variation (CV), accuracy, stability, and dilution. Samples were transported to the central laboratory and resulted via telephone to the operating room. We describe a case series of patients with primary hyperparathyroidism (PHPT) who underwent parathyroid surgery using our described IOPTH workflow.
Results
Within- and between-day CV was ≤3.0 % for quality control material that ranged from 2.2–44.6 pmol/L. Passing–Bablok regression yielded a slight proportional negative bias between the two Cobas e411 instruments [Elecsys® PTH our centre=0.95 (95 % CI: 0.90–1.00) × Elecsys® PTH Toronto − 0.05 (95 % CI: −0.20 to 0.09) (n=22)], but high correlation (r=0.99) as compared to PTH measured on the Vitros® XT 7600 analyzer [Elecsys® PTH=0.91 (95 % CI: 0.73–1.1) × Vitros® PTH + 0.1 (95 % CI: −0.34 to 0.76), r=0.96 (n=40)]. The mean operating time across ten patients surgically cured for PHPT was 47.1 min (±9.1) and no patients required intraoperative frozen tissue analysis.
Conclusions
The Elecsys® PTH STAT assay demonstrated acceptable analytical performance, and the described IOPTH workflow was implemented successfully via a collaborative hospital-wide initiative. We discuss our model to help guide other institutions in implementing and improving IOPTH workflows.
Q3

The impact of mutational burden, spliceosome and epigenetic regulator mutations on transfusion dependency in dysplastic neoplasms
Strasser B., Mustafa S., Steindl R., Heibl S., Mandl J., Lirk G., Haushofer A.
Abstract
Objectives
Myelodysplastic neoplasms and dysplastic chronic myelomonocytic leukemia are characterized by cytopenia. Therefore, transfusion dependency is high in these dysplastic neoplasms. We investigated the impact of molecular genetics on the transfusion dependency in dysplastic neoplasms.
Methods
We investigated the impact of the myeloid mutation burden on transfusion dependency in myelodysplastic neoplasms and dysplastic chronic myelomonocytic leukemia. In addition, the effect of different functional genetic groups, such as spliceosomes and epigenetic regulator gene mutations, on transfusion dependency was assessed in these patients. Confounding transfusion triggers were ruled out by the patient selection criteria and regression analyses.
Results
A greater number of mutations lead to a higher transfusion dependency for red blood cells and platelet concentrates. A higher transfusion dependency was associated with a higher transformation to acute myeloid leukemia. Spliceosome mutations were associated with a higher transfusion dependency of red blood cell concentrates than epigenetic regulator mutations.
Conclusions
Molecular genetics has the potential to improve the precision of patient blood management in dysplastic neoplasms.
Q3

Congress report: 6th German POCT symposium, September 25–26, 2024, Bremen
Luppa P.B., Petersmann A.
Q3

A comparative study between the Chrono-log 700 and the Sysmex CS-2100i analyzers for assessing ristocetin cofactor activity in patients with von Willebrand disease
Boulassel M., Abdellatif H., Al-Falahi K., Al-Hashmi F., Bouchareb Y., Al-Abri B., Al-Jahdhami H.
Abstract
Objectives
A variety of methods are currently used to measure von Willebrand factor (VWF) activity, but still the VWF ristocetin cofactor (VWF:RCo) assay using the manual aggregometry technique is the reference method, even having high inter-laboratory variability. The automated coagulation analyzers offer several advantages for routine testing. Herein the performance of the automated Sysmex CS2000/2100i analyzer was compared to the manual aggregometer Chrono-log 700 for assessing VWF:Co activity in patients suspected of having von Willebrand disease (VWD).
Methods
Plasma samples from 136 patients were prospectively collected, and blindly analyzed on both instruments, simultaneously. Linear regression analysis, Bland-Altman test, intra-class correlation coefficient (ICC), and area under receiver-operator characteristic (ROC) curve were used to evaluate the performance of the automated VWF:RCo assay.
Results
There was a strong positive correlation between the two assays (r=0.86, p<0.0001) with an excellent reliability ICC value of 0.81 (95 % CI: 0.74–0.86). A very good degree of agreement between the two assays was also evidenced with an estimated bias of −0.055 (−0.58 to 0.46). The ROC curve for the automated VWF:RCo assay was 0.86 (95 % CI: 0.78–0.92; p<0.0001). Using a cut-off value of 0.44 UI/mL for VWF:RCo activity, the sensitivity and specificity values were 91.2 %, and 88.2 % for the automated assay. The positive and negative positive values for VWD detection were 72.9 %, and 96.7 %, respectively.
Conclusions
Collectively, these findings indicate that the automated VWF:RCo assay yields comparable results to the manual aggregometry assay, with very good accuracy and precision to help diagnose patients suspected with VWD.
Q3

Platelet clump assessment using the Cellavision peripherical blood application – do we need manual microscopy?
Janel A.
Abstract
Objectives
This study aims to investigate the frequency, detection, and distribution of platelet clumps, assess the performance of automated digital microscopy (Cellavision) for detecting platelet clumps and explore strategies to optimize detection efficiency.
Methods
We conducted a retrospective analysis of 987,586 hemograms to evaluate the frequency of platelet clumps, and a study of 246 hemograms with platelet clumps for manual and digital microscopic reviews of blood smears. We investigated the locations and sizes of these clumps along the smear, and evaluated the detection capacity of the Cellavision system.
Results
Platelet clumps were found in 0.29 % of cases, with a higher incidence in pediatric and elderly populations. Platelet clumps were more frequent and larger at the smear periphery. Cellavision achieved 93 % sensitivity when combining the leukocyte and red blood cell observation fields. The strategy of reviewing only selected cases (platelet count <50 × 109/L or history of clumps) detected 97 % of platelet clumps, while reducing manual reviews by fourfold.
Conclusions
Automated digital microscopy is an effective tool for detecting platelet clumps, but it requires manual review in specific cases. Expanding image acquisition to the feather edge could further improve detection. A combined approach maximizes efficiency and ensures diagnostic accuracy, particularly in critical cases with low platelet counts.
Q3

Serum soluble endorphin combined with BISAP score predicts severe acute pancreatitis combined with septic shock
Yuan J., Yang Q., Chen C.
Abstract
Objectives
To investigate the diagnostic value of serum soluble endorphin (sENG) combined with BISAP score for severe acute pancreatitis (SAP) complicated with septic shock.
Methods
A total of 150 cases of SAP complicated with sepsis were selected and categorized into the group with shock (n=88) and the group without shock (n=42). The general clinical data and laboratory indexes of the two groups were compared. The factors affecting the occurrence of septic shock were explored, and the correlation between serum sENG, BISAP, APACHEII, and SOFA scores was analyzed. The value of sENG and BISAP scores for diagnosis of SAP complicated with sepsis was assessed.
Results
APACHEII score, SOFA score, BISAP score, and serum sENG levels were higher in the group that developed septic shock. Increased BISAP score and elevated serum sENG level were independent risk factors for septic shock in patients with SAP. sENG level was positively correlated with BISAP score, APACHEII, and SOFA score in patients with SAP-complicated sepsis, and BISAP score was also positively correlated with APACHEII and SOFA score. sENG level and BISAP score had a predictive value for patients with SAP complicated with septic shock (AUC=0.723, 0.703), and the combination of the two had the highest value for the diagnosis of SAP complicated with septic shock (AUC=0.838). In addition, the AUC values of the two in predicting poor prognostic outcomes in patients with SAP complicated with sepsis were 0.757 and 0.706, respectively, and the AUC of the combination was 0.796.
Conclusions
Serum sENG and BISAP scores are predictors of septic shock in patients with SAP, and the combination of the two has a more powerful predictive effect and better evaluation significance.
Q3

Q3

Upregulation of hsa_circ_0000745/hsa_circRNA_101996 in peripheral blood monocytes is associated with coronary heart disease
Li S., Shi M., Gele T., Zhang A., Li W., Sun Y., Wang C., Zhao J., Pei L., Liu J., Jia M.
Abstract
Objectives
Circular RNAs (circRNAs) are known to be associated with cardiovascular diseases. At present, an ideal biomarker for the early diagnosis of coronary heart disease (CHD) is still lacking.
Methods
We screened differentially expressed circRNAs (DEcircRNAs) in the peripheral blood monocytes (PBMCs) of patients with CHD, using the microarray technology in comparing the transcriptome. We identified upregulated and downregulated circRNAs. At the same time, we collected the patient clinical medical records and the PBMCs, the above results were analyzed and validated by quantitative reverse transcription-polymerase chain reaction (qRT-PCR), using 374 patients.
Results
We identified 183 upregulated and 41 downregulated circRNAs. Among these DEcircRNAs, hsa_circ_0000745/hsa_circRNA_101996 was significantly upregulated in a cohort of 297 patients with CHD and 77 non-CHD controls. Among patients with CHD, hsa_circ_0000745/hsa_circRNA_101996 was significantly upregulated in the unstable angina pectoris (UAP) and acute myocardial infarction (AMI) subgroups compared to the stable angina pectoris (SAP) subgroup. By dividing hsa_circ_0000745/hsa_circRNA_101996 expression into quartiles, we observed that the highest hsa_circ_0000745/hsa_circRNA_101996 expression quartile was a risk factor for CHD compared to the lowest quartile (odds ratio [OR]: 2.709; 95 % confidence interval [CI]: 1.126–6.519, p=0.026), after adjusting for the traditional risk factors (age, sex, body mass index [BMI], smoking, alcohol, C-reactive protein [CRP], small and dense low-density lipoprotein [sdLDL] and lipoprotein-associated phospholipase A2 [LP-PLA2]).
Conclusions
These data suggest that upregulated hsa_circ_0000745/hsa_circRNA_101996 in PBMCs is a risk factor for CHD and could be used as a biomarker of CHD.
Q3

The trend of Epstein-Barr virus DNA loads and CD8+ T lymphocyte numbers can predict the prognosis of pediatric liver transplant recipients with PTLD
Wang K., Xu D., Gao Y., Ma K., Zhao W.
Abstract
Objectives
Epstein-Barr virus (EBV) can cause lymphoproliferative disorders (PTLD) in immunodeficiency individuals. The pathogenesis of EBV infection depends on its effective recognition and elimination. Our study investigated the effect of peripheral lymphocyte subsets (PLS) on the elimination of EBV.
Methods
A retrospective single-center study included 63 patients with 17 pediatric liver transplant recipients with EBV-induced PTLD (PTLD group) and 46 patients diagnosed with EBV-induced mononucleosis (IM group). Dynamic monitoring of PLS with EBV-DNA loads was performed.
Results
EBV-DNA replicated at a high level (5.2E3∼5.93E7 copies/mL in PBMC) before treatment in all patients in PTLD group. B lymphocytes were the main infected cells. After treatment with Rituximab, the EBV-DNA loads decreased below the lower limit of detection in 10 patients (PTLD-stable disease, PTLD-SD group), and the viral loads replicated at lower level in six patients (PTLD-partial response, PTLD-PR group). In the PTLD-SD group, the percentage of CD3+CD8+ T lymphocytes increased beyond the normal range with the ascending of EBV-DNA loads, then it decreased to the normal range accompanied by the clearance of EBV. In the PTLD-PR group, the CD3+CD8+ T lymphocytes kept in the normal range, while the EBV kept on replication.
Conclusions
The increased number of CD3+CD8+ T lymphocytes occurred in parallel with the decline in EBV-DNA loads, which is the most useful index in estimating the host capacity of immuno-surveillance against EBV.
Q3

Evaluation of different needle gauge blood collection sets (23G/25G) in aged patients
Rosada A., Friedrich K., Spieß E., Prpic M., Müller-Werdan U., Jahić A., Kappert K.
Abstract
Objectives
Aged patients are often characterized by difficult blood sampling conditions. Smaller needle gauge (G) may be beneficial for venous access and reduced pain perception, however, potentially at the expense of lower blood quality for laboratory measurements. We systematically compared two blood collection sets with different outer but equal inner diameters; different needle tips, and retract mechanisms in aged patients (Safety-Lok™, 23G, SL vs. UltraTouch™ Push Button, 25G, UT-PB) regarding clinical aspects and laboratory measurements.
Methods
Clinical examination and questionnaires were used in an aged cohort (n=161, average age=81.6 years), to determine characteristics of venipuncture, the phlebotomist’s assessment of blood draw including level of difficulty, and patient’s pain perception with either one or both blood collection sets. Sample quality was evaluated by laboratory analytics considering 13 parameters.
Results
SL, UT-PB, or both were used in 89 (55 %), 72 (45 %) or 36 (22 %) patients. The handling of the blood collection sets was perceived slightly easier for UT-PB compared to SL by the phlebotomist (−30 %, p=0.038). There was no significant difference in other parameters of the phlebotomist’s assessment or patients’ perception of blood collection. There was no clinically relevant difference between both sets in any of the laboratory measurements, including potassium and hemolysis index.
Conclusions
Clinical use of the UT-PB compared with SL in aged patients was associated with slight advantages of UT-PB, e.g. in the handling comfort for the phlebotomist. Sample quality, especially regarding hemolysis, was identical between both blood collecting sets, making its use uncritical in difficult venous conditions commonly seen in elderly patients.
Q3

Comparison between detection power of MBT STAR-Carba test and KBM CIM Tris II for carbapenemase-producing bacteria
Komatsu S., Fujinaga C., Nakanishi N.
Abstract
Objectives
The rapid detection of carbapenemase-producing bacteria is clinically important for selecting appropriate antimicrobial therapy. Recently, matrix-assisted laser desorption ionization time-of-flight mass spectrometry was used to detect carbapenemase activity.
Methods
In this study, we evaluated the detection power of MBT STAR-Carba test on identifying carbapenemase-producing bacteria isolated in Kobe city, Japan, compared with that of the KBM CIM Tris II kit using the modified procedure parameters. The obtained results were expressed as normalized logRQ values indicating a measure of hydrolysis efficiency.
Results
The MBT STAR-Carba test rapidly detected not only major carbapenemases, such as IMP-1 and IMP-6 that are most prevalent in Japan, but also GES-type and OXA-51-like carbapenemases, which are difficult to detect by reaction with inhibitors or KBM CIM Tris II by extending the incubation time.
Conclusions
The MBT STAR-Carba test will be beneficial in rapid identification of carbapenemases in clinical settings and environmental investigations.
Q3

Advances and challenges in platelet counting: evolving from traditional microscopy to modern flow cytometry
Chen Y., Hu Y., Hu H.
Abstract
Platelet counting is a fundamental clinical test for diagnosing haemorrhagic diseases, coagulation abnormalities, and certain autoimmune disorders, and it also serves as a critical basis for decisions regarding platelet transfusion. Common automated methods for platelet counting include the international harmonization protocol (IHP) based on flow cytometry, CD61 immunoplatelet count (CD61-imm), impedance platelet count (PLT-I), hybrid platelet count (PLT-H), optical platelet count (PLT-O), and fluorescence platelet count (PLT-F). The IHP, based on flow cytometry, is recommended as the reference measurement procedure (RMP) by the Ministry of Health of the People’s Republic of China, the International Council for Standardization in Hematology (ICSH), and the International Society of Laboratory Hematology (ISLH) due to its superior precision and accuracy. Despite the significant improvements in efficiency and standardization brought about by automation, traditional blood smear microscopic examination (PLT-M) remains indispensable in specific scenarios, such as low platelet counts or abnormal platelet morphology, to ensure the accuracy and reliability of platelet counting results from automated methods.
Q3

Q3

Clarithromycin crystalluria
Zhao W., Zhang T.
Q3

Revision of the “Guideline of the German Medical Association on Quality Assurance in Medical Laboratory Examinations – Rili-BAEK”
Ahmad-Nejad P., Bauersfeld W., Baum H., Behre H.M., Burkhardt R., Cassens U., Ceglarek U., Christmann M., Cremers J., Diedrich S., Döring S., Gässler N., Haase G., Haselmann V., Hofmann J., et. al.
Top-100
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3 citations, 0.04%
|
|
Pensoft Publishers
3 citations, 0.04%
|
|
AME Publishing Company
3 citations, 0.04%
|
|
American Society of Hematology
3 citations, 0.04%
|
|
Veterinary World
3 citations, 0.04%
|
|
European Respiratory Society (ERS)
3 citations, 0.04%
|
|
3 citations, 0.04%
|
|
Royal College of Psychiatrists
3 citations, 0.04%
|
|
3 citations, 0.04%
|
|
CSIRO Publishing
3 citations, 0.04%
|
|
Scientific Research Publishing
3 citations, 0.04%
|
|
Bioscientifica
3 citations, 0.04%
|
|
AOSIS
3 citations, 0.04%
|
|
Environmental Health Perspectives
3 citations, 0.04%
|
|
EDP Sciences
2 citations, 0.03%
|
|
Sociedade Brasileira de Genetica
2 citations, 0.03%
|
|
Higher Education Press
2 citations, 0.03%
|
|
Springer Publishing Company
2 citations, 0.03%
|
|
American Institute of Mathematical Sciences (AIMS)
2 citations, 0.03%
|
|
Centers for Disease Control and Prevention (CDC)
2 citations, 0.03%
|
|
American Society for Clinical Investigation
2 citations, 0.03%
|
|
American Society of Tropical Medicine and Hygiene
2 citations, 0.03%
|
|
Fundacao Oswaldo Cruz
2 citations, 0.03%
|
|
Association for Computing Machinery (ACM)
2 citations, 0.03%
|
|
American Society for Biochemistry and Molecular Biology
2 citations, 0.03%
|
|
Society for the Study of Reproduction
2 citations, 0.03%
|
|
Siberian State Medical University
2 citations, 0.03%
|
|
Consilium Medicum
2 citations, 0.03%
|
|
Moffitt Cancer Center
2 citations, 0.03%
|
|
Korean Academy of Medical Sciences
2 citations, 0.03%
|
|
Association of Military Surgeons of the US
2 citations, 0.03%
|
|
The Electrochemical Society
2 citations, 0.03%
|
|
2 citations, 0.03%
|
|
Publishing House ABV Press
2 citations, 0.03%
|
|
Show all (70 more) | |
200
400
600
800
1000
1200
|
Publishing organizations
5
10
15
20
25
30
|
|
Duke University
26 publications, 5.79%
|
|
Arizona State University
23 publications, 5.12%
|
|
Pennsylvania State University
14 publications, 3.12%
|
|
University of California, Los Angeles
13 publications, 2.9%
|
|
Simon Fraser University
13 publications, 2.9%
|
|
Yale University
12 publications, 2.67%
|
|
University of California, Santa Barbara
12 publications, 2.67%
|
|
University of Michigan
12 publications, 2.67%
|
|
University of Zurich
11 publications, 2.45%
|
|
Harvard University
11 publications, 2.45%
|
|
University College London
10 publications, 2.23%
|
|
Northwestern University
10 publications, 2.23%
|
|
Dartmouth College
8 publications, 1.78%
|
|
Washington State University
7 publications, 1.56%
|
|
North Carolina State University
7 publications, 1.56%
|
|
University of Oxford
6 publications, 1.34%
|
|
University of Edinburgh
6 publications, 1.34%
|
|
Michigan State University
6 publications, 1.34%
|
|
Columbia University
6 publications, 1.34%
|
|
Washington University in St. Louis
6 publications, 1.34%
|
|
University of California, Berkeley
6 publications, 1.34%
|
|
University of Washington
6 publications, 1.34%
|
|
Indiana University Bloomington
6 publications, 1.34%
|
|
University of Texas at San Antonio
6 publications, 1.34%
|
|
University of Cambridge
5 publications, 1.11%
|
|
University of Liverpool
5 publications, 1.11%
|
|
Stanford University
5 publications, 1.11%
|
|
Case Western Reserve University
5 publications, 1.11%
|
|
Duke University Hospital
5 publications, 1.11%
|
|
Tufts University
5 publications, 1.11%
|
|
University of California, Irvine
5 publications, 1.11%
|
|
University of Notre Dame
5 publications, 1.11%
|
|
Vanderbilt University
5 publications, 1.11%
|
|
University of Toronto
5 publications, 1.11%
|
|
Huntsman Cancer Institute
5 publications, 1.11%
|
|
Durham University
4 publications, 0.89%
|
|
London School of Hygiene & Tropical Medicine
4 publications, 0.89%
|
|
Johns Hopkins University
4 publications, 0.89%
|
|
Deakin University
4 publications, 0.89%
|
|
University of Arizona
4 publications, 0.89%
|
|
Max Planck Institute for Evolutionary Anthropology
4 publications, 0.89%
|
|
University of British Columbia
4 publications, 0.89%
|
|
Brown University
4 publications, 0.89%
|
|
University of Amsterdam
4 publications, 0.89%
|
|
H. Lee Moffitt Cancer Center & Research Institute
4 publications, 0.89%
|
|
University of Alabama at Birmingham
4 publications, 0.89%
|
|
University of Utah
4 publications, 0.89%
|
|
University of Lisbon
3 publications, 0.67%
|
|
Uppsala University
3 publications, 0.67%
|
|
Karolinska Institute
3 publications, 0.67%
|
|
Stockholm University
3 publications, 0.67%
|
|
University of Helsinki
3 publications, 0.67%
|
|
University of Copenhagen
3 publications, 0.67%
|
|
Florida State University
3 publications, 0.67%
|
|
University of Southern California
3 publications, 0.67%
|
|
University of Glasgow
3 publications, 0.67%
|
|
University of Adelaide
3 publications, 0.67%
|
|
Princeton University
3 publications, 0.67%
|
|
University of Arizona Cancer Center
3 publications, 0.67%
|
|
University of Texas at Austin
3 publications, 0.67%
|
|
University of Münster
3 publications, 0.67%
|
|
University Medical Center Groningen
3 publications, 0.67%
|
|
University of Sussex
3 publications, 0.67%
|
|
University of Tennessee
3 publications, 0.67%
|
|
University of Bath
3 publications, 0.67%
|
|
University of Stirling
3 publications, 0.67%
|
|
Indian Institute of Science
2 publications, 0.45%
|
|
Tel Aviv University
2 publications, 0.45%
|
|
Lund University
2 publications, 0.45%
|
|
Medical University of Graz
2 publications, 0.45%
|
|
University of Warwick
2 publications, 0.45%
|
|
University of Sydney
2 publications, 0.45%
|
|
Georgia Institute of technology
2 publications, 0.45%
|
|
Macquarie University
2 publications, 0.45%
|
|
Bond University
2 publications, 0.45%
|
|
Howard University
2 publications, 0.45%
|
|
Virginia Tech
2 publications, 0.45%
|
|
University of California, Davis
2 publications, 0.45%
|
|
University of Aberdeen
2 publications, 0.45%
|
|
Centre for Ecological Research
2 publications, 0.45%
|
|
Max Planck Institute for Evolutionary Biology
2 publications, 0.45%
|
|
University of Bristol
2 publications, 0.45%
|
|
Wayne State University
2 publications, 0.45%
|
|
Pasteur Institute of Lille
2 publications, 0.45%
|
|
Ruhr University Bochum
2 publications, 0.45%
|
|
McMaster University
2 publications, 0.45%
|
|
Queen's University at Kingston
2 publications, 0.45%
|
|
National Autonomous University of Mexico
2 publications, 0.45%
|
|
Jagiellonian University
2 publications, 0.45%
|
|
Kiel University
2 publications, 0.45%
|
|
University of Vienna
2 publications, 0.45%
|
|
Emory University
2 publications, 0.45%
|
|
Centre Hospitalier Universitaire de Lille
2 publications, 0.45%
|
|
Western University
2 publications, 0.45%
|
|
University of North Carolina at Greensboro
2 publications, 0.45%
|
|
University of Tartu
2 publications, 0.45%
|
|
University of North Carolina at Chapel Hill
2 publications, 0.45%
|
|
University of Delaware
2 publications, 0.45%
|
|
Binghamton University
2 publications, 0.45%
|
|
University of Connecticut Health
2 publications, 0.45%
|
|
Show all (70 more) | |
5
10
15
20
25
30
|
Publishing organizations in 5 years
2
4
6
8
10
12
14
|
|
Duke University
14 publications, 6.33%
|
|
University College London
9 publications, 4.07%
|
|
Simon Fraser University
9 publications, 4.07%
|
|
Arizona State University
8 publications, 3.62%
|
|
University of California, Santa Barbara
8 publications, 3.62%
|
|
Northwestern University
6 publications, 2.71%
|
|
University of California, Los Angeles
6 publications, 2.71%
|
|
University of Texas at San Antonio
6 publications, 2.71%
|
|
Pennsylvania State University
5 publications, 2.26%
|
|
Duke University Hospital
5 publications, 2.26%
|
|
University of Michigan
5 publications, 2.26%
|
|
University of Zurich
4 publications, 1.81%
|
|
Durham University
4 publications, 1.81%
|
|
University of Cambridge
4 publications, 1.81%
|
|
Michigan State University
4 publications, 1.81%
|
|
North Carolina State University
4 publications, 1.81%
|
|
Harvard University
4 publications, 1.81%
|
|
University of California, Irvine
4 publications, 1.81%
|
|
Max Planck Institute for Evolutionary Anthropology
4 publications, 1.81%
|
|
University of British Columbia
4 publications, 1.81%
|
|
University of Utah
4 publications, 1.81%
|
|
Uppsala University
3 publications, 1.36%
|
|
Karolinska Institute
3 publications, 1.36%
|
|
Stockholm University
3 publications, 1.36%
|
|
London School of Hygiene & Tropical Medicine
3 publications, 1.36%
|
|
Florida State University
3 publications, 1.36%
|
|
Yale University
3 publications, 1.36%
|
|
Johns Hopkins University
3 publications, 1.36%
|
|
Deakin University
3 publications, 1.36%
|
|
Washington University in St. Louis
3 publications, 1.36%
|
|
Tufts University
3 publications, 1.36%
|
|
University of Arizona Cancer Center
3 publications, 1.36%
|
|
University of Arizona
3 publications, 1.36%
|
|
Brown University
3 publications, 1.36%
|
|
University Medical Center Groningen
3 publications, 1.36%
|
|
University of Toronto
3 publications, 1.36%
|
|
H. Lee Moffitt Cancer Center & Research Institute
3 publications, 1.36%
|
|
Huntsman Cancer Institute
3 publications, 1.36%
|
|
University of Bath
3 publications, 1.36%
|
|
University of Stirling
3 publications, 1.36%
|
|
Tel Aviv University
2 publications, 0.9%
|
|
Lund University
2 publications, 0.9%
|
|
University of Helsinki
2 publications, 0.9%
|
|
Medical University of Graz
2 publications, 0.9%
|
|
University of Warwick
2 publications, 0.9%
|
|
University of Oxford
2 publications, 0.9%
|
|
University of Liverpool
2 publications, 0.9%
|
|
University of Southern California
2 publications, 0.9%
|
|
University of Sydney
2 publications, 0.9%
|
|
Macquarie University
2 publications, 0.9%
|
|
Columbia University
2 publications, 0.9%
|
|
Princeton University
2 publications, 0.9%
|
|
Washington State University
2 publications, 0.9%
|
|
University of California, Berkeley
2 publications, 0.9%
|
|
University of Washington
2 publications, 0.9%
|
|
University of Notre Dame
2 publications, 0.9%
|
|
Centre for Ecological Research
2 publications, 0.9%
|
|
Vanderbilt University
2 publications, 0.9%
|
|
Dartmouth College
2 publications, 0.9%
|
|
University of Münster
2 publications, 0.9%
|
|
University of Amsterdam
2 publications, 0.9%
|
|
Indiana University Bloomington
2 publications, 0.9%
|
|
University of Tennessee
2 publications, 0.9%
|
|
Canadian Institute for Advanced Research
2 publications, 0.9%
|
|
Babes-Bolyai University
2 publications, 0.9%
|
|
Lobachevsky State University of Nizhny Novgorod
1 publication, 0.45%
|
|
All India Institute of Medical Sciences, Delhi
1 publication, 0.45%
|
|
Dokuz Eylül University
1 publication, 0.45%
|
|
University of Tübingen
1 publication, 0.45%
|
|
Indian Statistical Institute
1 publication, 0.45%
|
|
Hanoi Medical University
1 publication, 0.45%
|
|
Sichuan University
1 publication, 0.45%
|
|
Sidra Medical and Research Center
1 publication, 0.45%
|
|
École supérieure de physique et de chimie industrielles de la Ville de Paris
1 publication, 0.45%
|
|
Technical University of Munich
1 publication, 0.45%
|
|
University of Malaya
1 publication, 0.45%
|
|
University of Lisbon
1 publication, 0.45%
|
|
Radboud University Nijmegen Medical Centre
1 publication, 0.45%
|
|
Helsinki University Hospital
1 publication, 0.45%
|
|
ETH Zurich
1 publication, 0.45%
|
|
Skåne University Hospital
1 publication, 0.45%
|
|
Western Sydney University
1 publication, 0.45%
|
|
University of Bologna
1 publication, 0.45%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
1 publication, 0.45%
|
|
University of Turku
1 publication, 0.45%
|
|
Turku University Hospital
1 publication, 0.45%
|
|
Autonomous University of Barcelona
1 publication, 0.45%
|
|
Brunel University London
1 publication, 0.45%
|
|
Finnish Institute for Health and Welfare
1 publication, 0.45%
|
|
Åbo Akademi University
1 publication, 0.45%
|
|
Copenhagen University Hospital
1 publication, 0.45%
|
|
Aarhus University
1 publication, 0.45%
|
|
University of Padua
1 publication, 0.45%
|
|
European Bioinformatics Institute
1 publication, 0.45%
|
|
King's College London
1 publication, 0.45%
|
|
University of Edinburgh
1 publication, 0.45%
|
|
Francis Crick Institute
1 publication, 0.45%
|
|
Stony Brook University
1 publication, 0.45%
|
|
Cornell University
1 publication, 0.45%
|
|
Northeast Agricultural University
1 publication, 0.45%
|
|
Show all (70 more) | |
2
4
6
8
10
12
14
|
Publishing countries
50
100
150
200
250
|
|
USA
|
USA, 209, 46.55%
USA
209 publications, 46.55%
|
United Kingdom
|
United Kingdom, 60, 13.36%
United Kingdom
60 publications, 13.36%
|
Canada
|
Canada, 29, 6.46%
Canada
29 publications, 6.46%
|
Germany
|
Germany, 22, 4.9%
Germany
22 publications, 4.9%
|
France
|
France, 21, 4.68%
France
21 publications, 4.68%
|
Australia
|
Australia, 16, 3.56%
Australia
16 publications, 3.56%
|
Switzerland
|
Switzerland, 15, 3.34%
Switzerland
15 publications, 3.34%
|
Netherlands
|
Netherlands, 8, 1.78%
Netherlands
8 publications, 1.78%
|
Sweden
|
Sweden, 7, 1.56%
Sweden
7 publications, 1.56%
|
China
|
China, 5, 1.11%
China
5 publications, 1.11%
|
Denmark
|
Denmark, 5, 1.11%
Denmark
5 publications, 1.11%
|
Portugal
|
Portugal, 4, 0.89%
Portugal
4 publications, 0.89%
|
Austria
|
Austria, 4, 0.89%
Austria
4 publications, 0.89%
|
Spain
|
Spain, 4, 0.89%
Spain
4 publications, 0.89%
|
Italy
|
Italy, 4, 0.89%
Italy
4 publications, 0.89%
|
Kenya
|
Kenya, 4, 0.89%
Kenya
4 publications, 0.89%
|
Poland
|
Poland, 4, 0.89%
Poland
4 publications, 0.89%
|
Finland
|
Finland, 4, 0.89%
Finland
4 publications, 0.89%
|
Bolivia
|
Bolivia, 3, 0.67%
Bolivia
3 publications, 0.67%
|
India
|
India, 3, 0.67%
India
3 publications, 0.67%
|
Nepal
|
Nepal, 3, 0.67%
Nepal
3 publications, 0.67%
|
Estonia
|
Estonia, 2, 0.45%
Estonia
2 publications, 0.45%
|
Argentina
|
Argentina, 2, 0.45%
Argentina
2 publications, 0.45%
|
Hungary
|
Hungary, 2, 0.45%
Hungary
2 publications, 0.45%
|
Israel
|
Israel, 2, 0.45%
Israel
2 publications, 0.45%
|
Cyprus
|
Cyprus, 2, 0.45%
Cyprus
2 publications, 0.45%
|
Mexico
|
Mexico, 2, 0.45%
Mexico
2 publications, 0.45%
|
Republic of Korea
|
Republic of Korea, 2, 0.45%
Republic of Korea
2 publications, 0.45%
|
Romania
|
Romania, 2, 0.45%
Romania
2 publications, 0.45%
|
Uganda
|
Uganda, 2, 0.45%
Uganda
2 publications, 0.45%
|
Philippines
|
Philippines, 2, 0.45%
Philippines
2 publications, 0.45%
|
Ethiopia
|
Ethiopia, 2, 0.45%
Ethiopia
2 publications, 0.45%
|
South Africa
|
South Africa, 2, 0.45%
South Africa
2 publications, 0.45%
|
Russia
|
Russia, 1, 0.22%
Russia
1 publication, 0.22%
|
Bangladesh
|
Bangladesh, 1, 0.22%
Bangladesh
1 publication, 0.22%
|
Belgium
|
Belgium, 1, 0.22%
Belgium
1 publication, 0.22%
|
Vietnam
|
Vietnam, 1, 0.22%
Vietnam
1 publication, 0.22%
|
Egypt
|
Egypt, 1, 0.22%
Egypt
1 publication, 0.22%
|
Ireland
|
Ireland, 1, 0.22%
Ireland
1 publication, 0.22%
|
Cameroon
|
Cameroon, 1, 0.22%
Cameroon
1 publication, 0.22%
|
Qatar
|
Qatar, 1, 0.22%
Qatar
1 publication, 0.22%
|
Democratic Republic of the Congo
|
Democratic Republic of the Congo, 1, 0.22%
Democratic Republic of the Congo
1 publication, 0.22%
|
Morocco
|
Morocco, 1, 0.22%
Morocco
1 publication, 0.22%
|
New Zealand
|
New Zealand, 1, 0.22%
New Zealand
1 publication, 0.22%
|
Peru
|
Peru, 1, 0.22%
Peru
1 publication, 0.22%
|
Singapore
|
Singapore, 1, 0.22%
Singapore
1 publication, 0.22%
|
Tanzania
|
Tanzania, 1, 0.22%
Tanzania
1 publication, 0.22%
|
Turkey
|
Turkey, 1, 0.22%
Turkey
1 publication, 0.22%
|
Show all (18 more) | |
50
100
150
200
250
|
Publishing countries in 5 years
10
20
30
40
50
60
70
80
90
100
|
|
USA
|
USA, 96, 43.44%
USA
96 publications, 43.44%
|
United Kingdom
|
United Kingdom, 34, 15.38%
United Kingdom
34 publications, 15.38%
|
Canada
|
Canada, 19, 8.6%
Canada
19 publications, 8.6%
|
Germany
|
Germany, 14, 6.33%
Germany
14 publications, 6.33%
|
France
|
France, 11, 4.98%
France
11 publications, 4.98%
|
Australia
|
Australia, 10, 4.52%
Australia
10 publications, 4.52%
|
Sweden
|
Sweden, 7, 3.17%
Sweden
7 publications, 3.17%
|
Switzerland
|
Switzerland, 6, 2.71%
Switzerland
6 publications, 2.71%
|
Netherlands
|
Netherlands, 5, 2.26%
Netherlands
5 publications, 2.26%
|
Austria
|
Austria, 3, 1.36%
Austria
3 publications, 1.36%
|
Bolivia
|
Bolivia, 3, 1.36%
Bolivia
3 publications, 1.36%
|
Spain
|
Spain, 3, 1.36%
Spain
3 publications, 1.36%
|
Italy
|
Italy, 3, 1.36%
Italy
3 publications, 1.36%
|
Nepal
|
Nepal, 3, 1.36%
Nepal
3 publications, 1.36%
|
Finland
|
Finland, 3, 1.36%
Finland
3 publications, 1.36%
|
China
|
China, 2, 0.9%
China
2 publications, 0.9%
|
Argentina
|
Argentina, 2, 0.9%
Argentina
2 publications, 0.9%
|
Hungary
|
Hungary, 2, 0.9%
Hungary
2 publications, 0.9%
|
Israel
|
Israel, 2, 0.9%
Israel
2 publications, 0.9%
|
Kenya
|
Kenya, 2, 0.9%
Kenya
2 publications, 0.9%
|
Poland
|
Poland, 2, 0.9%
Poland
2 publications, 0.9%
|
Romania
|
Romania, 2, 0.9%
Romania
2 publications, 0.9%
|
Uganda
|
Uganda, 2, 0.9%
Uganda
2 publications, 0.9%
|
Philippines
|
Philippines, 2, 0.9%
Philippines
2 publications, 0.9%
|
Russia
|
Russia, 1, 0.45%
Russia
1 publication, 0.45%
|
Estonia
|
Estonia, 1, 0.45%
Estonia
1 publication, 0.45%
|
Portugal
|
Portugal, 1, 0.45%
Portugal
1 publication, 0.45%
|
Bangladesh
|
Bangladesh, 1, 0.45%
Bangladesh
1 publication, 0.45%
|
Vietnam
|
Vietnam, 1, 0.45%
Vietnam
1 publication, 0.45%
|
Denmark
|
Denmark, 1, 0.45%
Denmark
1 publication, 0.45%
|
Egypt
|
Egypt, 1, 0.45%
Egypt
1 publication, 0.45%
|
India
|
India, 1, 0.45%
India
1 publication, 0.45%
|
Ireland
|
Ireland, 1, 0.45%
Ireland
1 publication, 0.45%
|
Qatar
|
Qatar, 1, 0.45%
Qatar
1 publication, 0.45%
|
Cyprus
|
Cyprus, 1, 0.45%
Cyprus
1 publication, 0.45%
|
Democratic Republic of the Congo
|
Democratic Republic of the Congo, 1, 0.45%
Democratic Republic of the Congo
1 publication, 0.45%
|
Morocco
|
Morocco, 1, 0.45%
Morocco
1 publication, 0.45%
|
Mexico
|
Mexico, 1, 0.45%
Mexico
1 publication, 0.45%
|
Peru
|
Peru, 1, 0.45%
Peru
1 publication, 0.45%
|
Republic of Korea
|
Republic of Korea, 1, 0.45%
Republic of Korea
1 publication, 0.45%
|
Tanzania
|
Tanzania, 1, 0.45%
Tanzania
1 publication, 0.45%
|
Turkey
|
Turkey, 1, 0.45%
Turkey
1 publication, 0.45%
|
Ethiopia
|
Ethiopia, 1, 0.45%
Ethiopia
1 publication, 0.45%
|
Show all (13 more) | |
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