Annual Review of Ecology, Evolution, and Systematics
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SCImago
Q1
WOS
Q1
Impact factor
11.2
SJR
5.403
CiteScore
19.9
Categories
Ecology
Ecology, Evolution, Behavior and Systematics
Areas
Agricultural and Biological Sciences
Environmental Science
Years of issue
2003-2022, 2024
journal names
Annual Review of Ecology, Evolution, and Systematics
ANNU REV ECOL EVOL S
Top-3 citing journals
Top-3 organizations

University of California, Davis
(32 publications)

University of California, Berkeley
(22 publications)

University of California, Santa Barbara
(18 publications)

University of California, Davis
(6 publications)

Michigan State University
(5 publications)

University of Edinburgh
(4 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.
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|
|
Zoological Society of Japan
35 citations, 0.02%
|
|
Geological Society of London
35 citations, 0.02%
|
|
IGI Global
34 citations, 0.02%
|
|
Biology Centre, AS CR
34 citations, 0.02%
|
|
Wilson Ornithological Society
33 citations, 0.02%
|
|
Social Science Electronic Publishing
32 citations, 0.02%
|
|
Mary Ann Liebert
31 citations, 0.02%
|
|
Geological Society of America
31 citations, 0.02%
|
|
S. Karger AG
31 citations, 0.02%
|
|
Portland Press
29 citations, 0.02%
|
|
Finnish Zoological and Botanical Publishing Board
29 citations, 0.02%
|
|
28 citations, 0.02%
|
|
Academia Brasileira de Ciencias
28 citations, 0.02%
|
|
Scientific Research Publishing
28 citations, 0.02%
|
|
Bentham Science Publishers Ltd.
26 citations, 0.02%
|
|
Rio de Janeiro Botanical Garden
26 citations, 0.02%
|
|
Emerald
25 citations, 0.02%
|
|
Science in China Press
24 citations, 0.02%
|
|
Italian Society of Sivilculture and Forest Ecology (SISEF)
23 citations, 0.02%
|
|
California Botanical Society
23 citations, 0.02%
|
|
World Scientific
22 citations, 0.01%
|
|
Ecological Society of China
22 citations, 0.01%
|
|
University of Hawaii Press
21 citations, 0.01%
|
|
Missouri Botanical Garden Press
21 citations, 0.01%
|
|
Sociedade Brasileira de Genetica
20 citations, 0.01%
|
|
American Arachnological Society
20 citations, 0.01%
|
|
The Russian Academy of Sciences
20 citations, 0.01%
|
|
King Saud University
19 citations, 0.01%
|
|
American Meteorological Society
19 citations, 0.01%
|
|
Raptor Research Foundation, Inc.
19 citations, 0.01%
|
|
Crop Science Society of America
18 citations, 0.01%
|
|
IWA Publishing
18 citations, 0.01%
|
|
University of Colorado
18 citations, 0.01%
|
|
Society of Economic Paleontologists and Mineralogists
18 citations, 0.01%
|
|
American Society of Civil Engineers (ASCE)
18 citations, 0.01%
|
|
American Museum of Natural History (BioOne sponsored)
18 citations, 0.01%
|
|
Ovid Technologies (Wolters Kluwer Health)
17 citations, 0.01%
|
|
Show all (70 more) | |
5000
10000
15000
20000
25000
30000
35000
40000
45000
|
Publishing organizations
5
10
15
20
25
30
35
|
|
University of California, Davis
32 publications, 5.76%
|
|
University of California, Berkeley
22 publications, 3.96%
|
|
University of California, Santa Barbara
18 publications, 3.24%
|
|
University of Michigan
14 publications, 2.52%
|
|
University of Edinburgh
13 publications, 2.34%
|
|
Harvard University
13 publications, 2.34%
|
|
University of Arizona
13 publications, 2.34%
|
|
University of British Columbia
13 publications, 2.34%
|
|
University of California, Santa Cruz
12 publications, 2.16%
|
|
University of Texas at Austin
12 publications, 2.16%
|
|
University of Oxford
11 publications, 1.98%
|
|
Stanford University
11 publications, 1.98%
|
|
University of Washington
11 publications, 1.98%
|
|
University of California, Los Angeles
11 publications, 1.98%
|
|
University of Wisconsin–Madison
11 publications, 1.98%
|
|
University of Toronto
11 publications, 1.98%
|
|
Michigan State University
10 publications, 1.8%
|
|
University of Queensland
10 publications, 1.8%
|
|
University of Minnesota
10 publications, 1.8%
|
|
University of Tennessee
10 publications, 1.8%
|
|
Cornell University
9 publications, 1.62%
|
|
Duke University
9 publications, 1.62%
|
|
McGill University
9 publications, 1.62%
|
|
University of Copenhagen
8 publications, 1.44%
|
|
Florida State University
8 publications, 1.44%
|
|
University of North Carolina at Chapel Hill
8 publications, 1.44%
|
|
Iowa State University
7 publications, 1.26%
|
|
Washington State University
7 publications, 1.26%
|
|
Auburn University
7 publications, 1.26%
|
|
Northern Arizona University
7 publications, 1.26%
|
|
University of Chicago
7 publications, 1.26%
|
|
Brown University
7 publications, 1.26%
|
|
University of Florida
7 publications, 1.26%
|
|
Louisiana State University
7 publications, 1.26%
|
|
University of Colorado Boulder
7 publications, 1.26%
|
|
Stockholm University
6 publications, 1.08%
|
|
University of Bern
6 publications, 1.08%
|
|
Imperial College London
6 publications, 1.08%
|
|
Yale University
6 publications, 1.08%
|
|
James Cook University
6 publications, 1.08%
|
|
Rutgers, The State University of New Jersey
6 publications, 1.08%
|
|
University of California, Riverside
6 publications, 1.08%
|
|
National Autonomous University of Mexico
6 publications, 1.08%
|
|
Indiana University Bloomington
6 publications, 1.08%
|
|
University of Connecticut
6 publications, 1.08%
|
|
University of Zurich
5 publications, 0.9%
|
|
University of Lausanne
5 publications, 0.9%
|
|
University of New South Wales
5 publications, 0.9%
|
|
University of Cambridge
5 publications, 0.9%
|
|
National University of Singapore
5 publications, 0.9%
|
|
University of Melbourne
5 publications, 0.9%
|
|
Australian Research Council Centre of Excellence for Coral Reef Studies
5 publications, 0.9%
|
|
Princeton University
5 publications, 0.9%
|
|
Arizona State University
5 publications, 0.9%
|
|
North Carolina State University
5 publications, 0.9%
|
|
University of California, Irvine
5 publications, 0.9%
|
|
University of California, Merced
5 publications, 0.9%
|
|
University of Illinois Urbana-Champaign
5 publications, 0.9%
|
|
Dartmouth College
5 publications, 0.9%
|
|
University of Maryland, College Park
5 publications, 0.9%
|
|
University of Exeter
5 publications, 0.9%
|
|
University of Miami
5 publications, 0.9%
|
|
Doñana Biological Station
5 publications, 0.9%
|
|
Texas A&M University
5 publications, 0.9%
|
|
Utah State University
5 publications, 0.9%
|
|
University of Helsinki
4 publications, 0.72%
|
|
Australian National University
4 publications, 0.72%
|
|
University College London
4 publications, 0.72%
|
|
Durham University
4 publications, 0.72%
|
|
University of Oslo
4 publications, 0.72%
|
|
Stony Brook University
4 publications, 0.72%
|
|
University of Southampton
4 publications, 0.72%
|
|
Pennsylvania State University
4 publications, 0.72%
|
|
Stellenbosch University
4 publications, 0.72%
|
|
Washington University in St. Louis
4 publications, 0.72%
|
|
Colorado State University
4 publications, 0.72%
|
|
Virginia Tech
4 publications, 0.72%
|
|
University of Notre Dame
4 publications, 0.72%
|
|
Vrije Universiteit Amsterdam
4 publications, 0.72%
|
|
University of Groningen
4 publications, 0.72%
|
|
University of Maryland Center for Environmental Science
4 publications, 0.72%
|
|
University of Sheffield
4 publications, 0.72%
|
|
Wageningen University and Research Centre
4 publications, 0.72%
|
|
Netherlands Institute of Ecology
4 publications, 0.72%
|
|
University of East Anglia
4 publications, 0.72%
|
|
University of Guelph
4 publications, 0.72%
|
|
University of Nebraska–Lincoln
4 publications, 0.72%
|
|
University of New Hampshire
4 publications, 0.72%
|
|
Uppsala University
3 publications, 0.54%
|
|
Free University of Berlin
3 publications, 0.54%
|
|
Grenoble Alpes University
3 publications, 0.54%
|
|
ETH Zurich
3 publications, 0.54%
|
|
Swedish University of Agricultural Sciences
3 publications, 0.54%
|
|
Western Sydney University
3 publications, 0.54%
|
|
Aarhus University
3 publications, 0.54%
|
|
University of Bergen
3 publications, 0.54%
|
|
Charles University
3 publications, 0.54%
|
|
Monash University
3 publications, 0.54%
|
|
University of Western Australia
3 publications, 0.54%
|
|
Australian Research Council
3 publications, 0.54%
|
|
Show all (70 more) | |
5
10
15
20
25
30
35
|
Publishing organizations in 5 years
1
2
3
4
5
6
|
|
University of California, Davis
6 publications, 5.13%
|
|
Michigan State University
5 publications, 4.27%
|
|
University of Edinburgh
4 publications, 3.42%
|
|
University of California, Berkeley
4 publications, 3.42%
|
|
University of Arizona
4 publications, 3.42%
|
|
University of Michigan
4 publications, 3.42%
|
|
University of British Columbia
4 publications, 3.42%
|
|
University of Florida
4 publications, 3.42%
|
|
University of Oxford
3 publications, 2.56%
|
|
Florida State University
3 publications, 2.56%
|
|
Yale University
3 publications, 2.56%
|
|
Iowa State University
3 publications, 2.56%
|
|
Stanford University
3 publications, 2.56%
|
|
North Carolina State University
3 publications, 2.56%
|
|
Virginia Tech
3 publications, 2.56%
|
|
University of California, Irvine
3 publications, 2.56%
|
|
University of Illinois Urbana-Champaign
3 publications, 2.56%
|
|
Dartmouth College
3 publications, 2.56%
|
|
University of Wisconsin–Madison
3 publications, 2.56%
|
|
University of Toronto
3 publications, 2.56%
|
|
University of Miami
3 publications, 2.56%
|
|
University of Texas at Arlington
3 publications, 2.56%
|
|
AgroParisTech
3 publications, 2.56%
|
|
Université Paris-Saclay
3 publications, 2.56%
|
|
University of Tennessee
3 publications, 2.56%
|
|
Uppsala University
2 publications, 1.71%
|
|
University of Lorraine
2 publications, 1.71%
|
|
Free University of Berlin
2 publications, 1.71%
|
|
University of Bern
2 publications, 1.71%
|
|
University of Lausanne
2 publications, 1.71%
|
|
University College London
2 publications, 1.71%
|
|
Durham University
2 publications, 1.71%
|
|
University of Cambridge
2 publications, 1.71%
|
|
University of Copenhagen
2 publications, 1.71%
|
|
Sorbonne University
2 publications, 1.71%
|
|
William Marsh Rice University
2 publications, 1.71%
|
|
Princeton University
2 publications, 1.71%
|
|
Auburn University
2 publications, 1.71%
|
|
Harvard University
2 publications, 1.71%
|
|
University of Washington
2 publications, 1.71%
|
|
University of California, Los Angeles
2 publications, 1.71%
|
|
University of California, Santa Cruz
2 publications, 1.71%
|
|
Vrije Universiteit Amsterdam
2 publications, 1.71%
|
|
University of Minnesota
2 publications, 1.71%
|
|
Goethe University Frankfurt
2 publications, 1.71%
|
|
Senckenberg Biodiversity and Climate Research Centre
2 publications, 1.71%
|
|
University of Maryland Center for Environmental Science
2 publications, 1.71%
|
|
University of Ottawa
2 publications, 1.71%
|
|
University of Saskatchewan
2 publications, 1.71%
|
|
University of North Carolina at Chapel Hill
2 publications, 1.71%
|
|
Texas A&M University
2 publications, 1.71%
|
|
Paris Sciences et Lettres
2 publications, 1.71%
|
|
University of Connecticut
2 publications, 1.71%
|
|
University of Houston
2 publications, 1.71%
|
|
Tata Institute of Fundamental Research
1 publication, 0.85%
|
|
Peking University
1 publication, 0.85%
|
|
Ben-Gurion University of the Negev
1 publication, 0.85%
|
|
Katholieke Universiteit Leuven
1 publication, 0.85%
|
|
Technical University of Munich
1 publication, 0.85%
|
|
Lund University
1 publication, 0.85%
|
|
Pontificia Universidad Católica de Valparaíso
1 publication, 0.85%
|
|
Grenoble Alpes University
1 publication, 0.85%
|
|
University of Helsinki
1 publication, 0.85%
|
|
Beijing Forestry University
1 publication, 0.85%
|
|
Swedish University of Agricultural Sciences
1 publication, 0.85%
|
|
Sapienza University of Rome
1 publication, 0.85%
|
|
Swiss Institute of Bioinformatics
1 publication, 0.85%
|
|
University of New South Wales
1 publication, 0.85%
|
|
Western Sydney University
1 publication, 0.85%
|
|
University of Milan
1 publication, 0.85%
|
|
Nanyang Technological University
1 publication, 0.85%
|
|
Imperial College London
1 publication, 0.85%
|
|
Norwegian University of Science and Technology
1 publication, 0.85%
|
|
University of Jyväskylä
1 publication, 0.85%
|
|
Aarhus University
1 publication, 0.85%
|
|
University of Oslo
1 publication, 0.85%
|
|
Lawrence Berkeley National Laboratory
1 publication, 0.85%
|
|
National University of Singapore
1 publication, 0.85%
|
|
Cornell University
1 publication, 0.85%
|
|
Johns Hopkins University
1 publication, 0.85%
|
|
National Cheng Kung University
1 publication, 0.85%
|
|
Norwegian Institute for Nature Research
1 publication, 0.85%
|
|
University of Glasgow
1 publication, 0.85%
|
|
Roma Tre University
1 publication, 0.85%
|
|
University of Otago
1 publication, 0.85%
|
|
Victoria University of Wellington
1 publication, 0.85%
|
|
Charles University
1 publication, 0.85%
|
|
University of Melbourne
1 publication, 0.85%
|
|
Monash University
1 publication, 0.85%
|
|
University of Queensland
1 publication, 0.85%
|
|
La Trobe University
1 publication, 0.85%
|
|
Charles Sturt University
1 publication, 0.85%
|
|
Stellenbosch University
1 publication, 0.85%
|
|
Columbia University
1 publication, 0.85%
|
|
Boston University
1 publication, 0.85%
|
|
Dalhousie University
1 publication, 0.85%
|
|
University of Mauritius
1 publication, 0.85%
|
|
Washington State University
1 publication, 0.85%
|
|
Seoul National University
1 publication, 0.85%
|
|
Arizona State University
1 publication, 0.85%
|
|
Show all (70 more) | |
1
2
3
4
5
6
|
Publishing countries
50
100
150
200
250
300
350
400
|
|
USA
|
USA, 369, 66.37%
USA
369 publications, 66.37%
|
United Kingdom
|
United Kingdom, 82, 14.75%
United Kingdom
82 publications, 14.75%
|
Canada
|
Canada, 53, 9.53%
Canada
53 publications, 9.53%
|
Australia
|
Australia, 40, 7.19%
Australia
40 publications, 7.19%
|
Germany
|
Germany, 32, 5.76%
Germany
32 publications, 5.76%
|
France
|
France, 31, 5.58%
France
31 publications, 5.58%
|
Switzerland
|
Switzerland, 23, 4.14%
Switzerland
23 publications, 4.14%
|
Netherlands
|
Netherlands, 17, 3.06%
Netherlands
17 publications, 3.06%
|
Sweden
|
Sweden, 17, 3.06%
Sweden
17 publications, 3.06%
|
Spain
|
Spain, 16, 2.88%
Spain
16 publications, 2.88%
|
China
|
China, 13, 2.34%
China
13 publications, 2.34%
|
Panama
|
Panama, 12, 2.16%
Panama
12 publications, 2.16%
|
Denmark
|
Denmark, 11, 1.98%
Denmark
11 publications, 1.98%
|
Mexico
|
Mexico, 10, 1.8%
Mexico
10 publications, 1.8%
|
New Zealand
|
New Zealand, 10, 1.8%
New Zealand
10 publications, 1.8%
|
Norway
|
Norway, 10, 1.8%
Norway
10 publications, 1.8%
|
Brazil
|
Brazil, 9, 1.62%
Brazil
9 publications, 1.62%
|
South Africa
|
South Africa, 7, 1.26%
South Africa
7 publications, 1.26%
|
Japan
|
Japan, 7, 1.26%
Japan
7 publications, 1.26%
|
Finland
|
Finland, 6, 1.08%
Finland
6 publications, 1.08%
|
Czech Republic
|
Czech Republic, 6, 1.08%
Czech Republic
6 publications, 1.08%
|
Austria
|
Austria, 5, 0.9%
Austria
5 publications, 0.9%
|
Argentina
|
Argentina, 5, 0.9%
Argentina
5 publications, 0.9%
|
Singapore
|
Singapore, 5, 0.9%
Singapore
5 publications, 0.9%
|
Israel
|
Israel, 4, 0.72%
Israel
4 publications, 0.72%
|
Italy
|
Italy, 4, 0.72%
Italy
4 publications, 0.72%
|
Chile
|
Chile, 3, 0.54%
Chile
3 publications, 0.54%
|
Ecuador
|
Ecuador, 3, 0.54%
Ecuador
3 publications, 0.54%
|
Russia
|
Russia, 2, 0.36%
Russia
2 publications, 0.36%
|
Estonia
|
Estonia, 2, 0.36%
Estonia
2 publications, 0.36%
|
Portugal
|
Portugal, 2, 0.36%
Portugal
2 publications, 0.36%
|
Belgium
|
Belgium, 2, 0.36%
Belgium
2 publications, 0.36%
|
Ireland
|
Ireland, 2, 0.36%
Ireland
2 publications, 0.36%
|
Philippines
|
Philippines, 2, 0.36%
Philippines
2 publications, 0.36%
|
Brunei
|
Brunei, 1, 0.18%
Brunei
1 publication, 0.18%
|
India
|
India, 1, 0.18%
India
1 publication, 0.18%
|
Indonesia
|
Indonesia, 1, 0.18%
Indonesia
1 publication, 0.18%
|
Kenya
|
Kenya, 1, 0.18%
Kenya
1 publication, 0.18%
|
Costa Rica
|
Costa Rica, 1, 0.18%
Costa Rica
1 publication, 0.18%
|
Luxembourg
|
Luxembourg, 1, 0.18%
Luxembourg
1 publication, 0.18%
|
Mauritius
|
Mauritius, 1, 0.18%
Mauritius
1 publication, 0.18%
|
Myanmar
|
Myanmar, 1, 0.18%
Myanmar
1 publication, 0.18%
|
Republic of Korea
|
Republic of Korea, 1, 0.18%
Republic of Korea
1 publication, 0.18%
|
Slovakia
|
Slovakia, 1, 0.18%
Slovakia
1 publication, 0.18%
|
Uruguay
|
Uruguay, 1, 0.18%
Uruguay
1 publication, 0.18%
|
Croatia
|
Croatia, 1, 0.18%
Croatia
1 publication, 0.18%
|
Show all (16 more) | |
50
100
150
200
250
300
350
400
|
Publishing countries in 5 years
10
20
30
40
50
60
70
80
|
|
USA
|
USA, 75, 64.1%
USA
75 publications, 64.1%
|
United Kingdom
|
United Kingdom, 12, 10.26%
United Kingdom
12 publications, 10.26%
|
Canada
|
Canada, 11, 9.4%
Canada
11 publications, 9.4%
|
Germany
|
Germany, 10, 8.55%
Germany
10 publications, 8.55%
|
France
|
France, 9, 7.69%
France
9 publications, 7.69%
|
Switzerland
|
Switzerland, 5, 4.27%
Switzerland
5 publications, 4.27%
|
Australia
|
Australia, 4, 3.42%
Australia
4 publications, 3.42%
|
Panama
|
Panama, 4, 3.42%
Panama
4 publications, 3.42%
|
China
|
China, 3, 2.56%
China
3 publications, 2.56%
|
Argentina
|
Argentina, 3, 2.56%
Argentina
3 publications, 2.56%
|
Brazil
|
Brazil, 3, 2.56%
Brazil
3 publications, 2.56%
|
Spain
|
Spain, 3, 2.56%
Spain
3 publications, 2.56%
|
Sweden
|
Sweden, 3, 2.56%
Sweden
3 publications, 2.56%
|
Austria
|
Austria, 2, 1.71%
Austria
2 publications, 1.71%
|
Denmark
|
Denmark, 2, 1.71%
Denmark
2 publications, 1.71%
|
Netherlands
|
Netherlands, 2, 1.71%
Netherlands
2 publications, 1.71%
|
New Zealand
|
New Zealand, 2, 1.71%
New Zealand
2 publications, 1.71%
|
Norway
|
Norway, 2, 1.71%
Norway
2 publications, 1.71%
|
Finland
|
Finland, 2, 1.71%
Finland
2 publications, 1.71%
|
Czech Republic
|
Czech Republic, 2, 1.71%
Czech Republic
2 publications, 1.71%
|
Belgium
|
Belgium, 1, 0.85%
Belgium
1 publication, 0.85%
|
Israel
|
Israel, 1, 0.85%
Israel
1 publication, 0.85%
|
India
|
India, 1, 0.85%
India
1 publication, 0.85%
|
Indonesia
|
Indonesia, 1, 0.85%
Indonesia
1 publication, 0.85%
|
Ireland
|
Ireland, 1, 0.85%
Ireland
1 publication, 0.85%
|
Italy
|
Italy, 1, 0.85%
Italy
1 publication, 0.85%
|
Costa Rica
|
Costa Rica, 1, 0.85%
Costa Rica
1 publication, 0.85%
|
Luxembourg
|
Luxembourg, 1, 0.85%
Luxembourg
1 publication, 0.85%
|
Mauritius
|
Mauritius, 1, 0.85%
Mauritius
1 publication, 0.85%
|
Republic of Korea
|
Republic of Korea, 1, 0.85%
Republic of Korea
1 publication, 0.85%
|
Singapore
|
Singapore, 1, 0.85%
Singapore
1 publication, 0.85%
|
Chile
|
Chile, 1, 0.85%
Chile
1 publication, 0.85%
|
Ecuador
|
Ecuador, 1, 0.85%
Ecuador
1 publication, 0.85%
|
Japan
|
Japan, 1, 0.85%
Japan
1 publication, 0.85%
|
Show all (4 more) | |
10
20
30
40
50
60
70
80
|
1 profile journal article
Boyce Mark

University of Alberta
272 publications,
23 450 citations
h-index: 75