dc.contributor.author | Henkel, Ralf | |
dc.date.accessioned | 2016-03-03T20:25:54Z | |
dc.date.available | 2016-03-03T20:25:54Z | |
dc.date.issued | 2016 | |
dc.date.issued | 2016 | |
dc.identifier.citation | Henkel, R., et al. (2016). Bibliometrics: tracking research impact by selecting the appropriate metrics. Asian Journal of Andrology, 18(2):296-309 | en_US |
dc.identifier.issn | 1008-682X | |
dc.identifier.issn | 1008-682X | |
dc.identifier.uri | http://hdl.handle.net/10566/2082 | |
dc.description.abstract | Traditionally, the success of a researcher is assessed by the number of publications he or she publishes in peer-reviewed, indexed,
high impact journals. This essential yardstick, often referred to as the impact of a specific researcher, is assessed through the
use of various metrics. While researchers may be acquainted with such matrices, many do not know how to use them to enhance
their careers. In addition to these metrics, a number of other factors should be taken into consideration to objectively evaluate a
scientist's profile as a researcher and academician. Moreover, each metric has its own limitations that need to be considered when
selecting an appropriate metric for evaluation. This paper provides a broad overview of the wide array of metrics currently in use in
academia and research. Popular metrics are discussed and defined, including traditional metrics and article-level metrics, some of
which are applied to researchers for a greater understanding of a particular concept, including varicocele that is the thematic area
of this Special Issue of Asian Journal of Andrology. We recommend the combined use of quantitative and qualitative evaluation
using judiciously selected metrics for a more objective assessment of scholarly output and research impact. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Medknow Publications | en_US |
dc.rights | Asian Journal of Andrology is an international peer-reviewed open access journal. | |
dc.source.uri | http://dx.doi.org/10.4103/1008-682X.171582 | |
dc.subject | Article-level metrics | en_US |
dc.subject | Bibliometrics | en_US |
dc.subject | Citation counts | en_US |
dc.subject | H-index | en_US |
dc.subject | Impact factor | en_US |
dc.subject | Research databases | en_US |
dc.subject | Research impact | en_US |
dc.subject | Research productivity | en_US |
dc.subject | Traditional metrics | en_US |
dc.title | Bibliometrics: tracking research impact by selecting the appropriate metrics | en_US |
dc.type | Article | en_US |
dc.privacy.showsubmitter | false | |
dc.privacy.showsubmitter | FALSE | |
dc.status.ispeerreviewed | true | |
dc.status.ispeerreviewed | TRUE | |
dc.description.accreditation | Web of Science | en_US |