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The h-index is an author-level metric that measures both the productivity and citation impact of the publications, initially used for an individual scientist or scholar. The h-index correlates with success indicators such as winning the Nobel Prize, being accepted for research fellowships and holding positions at top universities. [1]
It was created by the National Human Genome Research Institute (NHGRI) in 2008 and have become a collaborative project between the NHGRI and the European Bioinformatics Institute (EBI) since 2010. [1] As of September 2018, it has included 71,673 SNP–trait associations in 3,567 publications. [2]
Acta Biológica Colombiana; American Journal of Physical Anthropology; The American Naturalist; Annual Review of Physiology; Asian-Australasian Journal of Bioscience and Biotechnology
The papers introducing the ranking have been quoted extensively by authors working in Bibliometrics and Scientometrics.For example, reference [3] describing an update to the methodology of this index number is cited [12] from authors publishing in journals such as SAGE's Research on Social Work Practice, [10] Elsevier's Perspectives in Ecology and Conservation, [13] Springer's Forensic Science ...
Personal Genome Project: human genomes of 100,000 volunteers from around the world; RGD (Rat Genome Database): genomic and phenotype data for Rattus norvegicus; Saccharomyces Genome Database: [12] genome of the yeast model organism; SNPedia; SoyBase Database [13] (SoyBase): USDA soybean genetics and genomic database
The o-index corresponds to the geometric mean of the h-index and the most cited paper of a researcher. [30] RA-index: The RA-index accommodates improving the sensitivity of the h-index on the number of highly cited papers and has many cited paper and uncited paper under the h-core. This improvement can enhance the measurement sensitivity of the ...
The composite index or composite indicator (abbreviated as c-score) [1] [2] is a new numerical indicator that evaluates the quality of a scientist's research publications, regardless of the scientific field in which he/she operates. [3] [4] [5]
The VISTA family of tools is developed and hosted at the Genomics Division of Lawrence Berkeley National Laboratory.This collaborative effort is supported by the Programs for Genomic Applications grant from the NHLBI/NIH and the Office of Biological and Environmental Research, Office of Science, US Department of Energy.