Scientometrics
Scientometrics is a subfield of
Historical development
[2][3][4][5] Modern scientometrics is mostly based on the work of
The International Society for Scientometrics and Informetrics founded in 1993 is an association of professionals in the field.[9]
Later, around the turn of the century, evaluation and ranking of scientists and institutions came more into the spotlights. Based on bibliometric analysis of scientific publications and citations, the Academic Ranking of World Universities ("Shanghai ranking") was first published in 2004 by the Shanghai Jiao Tong University. Impact factors became an important tool to choose between different journals. Rankings such as the Academic Ranking of World Universities and the Times Higher Education World University Rankings (THE-ranking) became an indicator for the status of universities. The h-index became an important indicator of the productivity and impact of the work of a scientist. However, alternative author-level metrics have been proposed.[10][11]
Around the same time, the interest of governments in evaluating research for the purpose of assessing the impact of science funding increased. As the investments in scientific research were included as part of the U.S. American Recovery and Reinvestment Act of 2009 (ARRA), a major economic stimulus package, programs like STAR METRICS were set up to assess if the positive impact on the economy would actually occur.[12]
Methods and findings
Methods of research include qualitative, quantitative and computational approaches. The main focus of studies have been on institutional productivity comparisons, institutional research rankings, journal rankings[7][8][13] establishing faculty productivity and tenure standards,[14] assessing the influence of top scholarly articles,[15] and developing profiles of top authors and institutions in terms of research performance.[16]
One significant finding in the field is a principle of cost escalation to the effect that achieving further findings at a given level of importance grow exponentially more costly in the expenditure of effort and resources. However, new algorithmic methods in search, machine learning and data mining are showing that is not the case for many information retrieval and extraction-based problems.[citation needed]
More recent methods rely on
Recommendations to avoid common errors in scientometrics include: select topics with sufficient data; use data mining and web scraping, combine methods, and eliminate "false positives".[18][19] It is also necessary to understand the limits of search engines (e.g. Web of Science, Scopus and Google Scholar) which fail to index thousands of studies in small journals and underdeveloped countries.[20]
Common scientometric indexes
Indexes may be classified as
Impact factor
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a measure reflecting the yearly average number of citations to recent articles published in that journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factors are often deemed to be more important than those with lower ones. The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI).
Science Citation Index
The Science Citation Index (SCI) is a
Acknowledgment index
An acknowledgment index (British acknowledgement index)
Altmetrics
In scholarly and scientific publishing, altmetrics are nontraditional
Criticisms
Critics have argued that overreliance on scientometrics has created a
In popular culture
The main character in Michael Frayn’s novel Skios is a Professor of Scientometrics.
See also
- Academic careerism
- Author-level metrics
- Citation analysis
- College and university rankings
- Erdős number
- Eigenfactor
- Expert elicitation
- Goodhart's law
- Journal ranking
- Journalology
- Lists of science and technology awards
- Peer review
- Semantic Web § Applications
- SCImago Journal Rank
- Scopus
- Semantic Scholar
Journals
- Scientometrics
- Journal of the American Society for Information Science and Technology
- Journal of Informetrics
References and footnotes
- ^ a b c Leydesdorff, L. and Milojevic, S., "Scientometrics" arXiv:1208.4566 (2013), forthcoming in: Lynch, M. (editor), International Encyclopedia of Social and Behavioral Sciences subsection 85030. (2015)
- ^ Nalimov, Vasily Vasilyevich; Mulchenko, B. M. (1969). ""Scientometrics." Studies of science as a process of information". Science. Moscow, Russia.
- ISSN 1751-1577. Retrieved 15 May 2021.
- ^ Валеев, Д. Х.; Голубцов, В. Г. (2018). Юридическая Наукометрия И Цивилистические Исследования. Методологические Проблемы Цивилистических Исследований (in Russian): 45–57. Retrieved 15 May 2021.
- ^ Борисов, М. В.; Майсуразде, А. И. (2014). Восстановление связей в научном рубрикаторе на основе кластеризации гетерогенной сети (PDF) (Thesis). Московский государственный университет имени М. В. Ломоносова. Retrieved 15 May 2021.
- De Solla Price, D., editorial statement. Scientometrics Volume 1, Issue 1 (1978)
- ^ SSRN 666145.
- ^ a b Lowry, Paul Benjamin; Moody, Gregory D.; Gaskin, James; Galletta, Dennis F.; Humpherys, Sean; Barlow, Jordan B.; and Wilson, David W. (2013). "Evaluating journal quality and the Association for Information Systems (AIS) Senior Scholars' journal basket via bibliometric measures: Do expert journal assessments add value?," MIS Quarterly (MISQ), vol. 37(4), 993–1012. Also, see a YouTube video narrative of this paper at: https://www.youtube.com/watch?v=LZQIDkA-ke0.
- ^ "About". International Society for Scientometrics and Informetrics. Retrieved 2021-01-18.
- PMC 4654436.
- S2CID 22795899.
- S2CID 206520769.
- SSRN 1021608. Recipient of the Rudolph Joenk Award for Best Paper Published in IEEE Transactions on Professional Communication in 2007.
- SSRN 1562263.
- SSRN 976891.
- SSRN 1021603.
- bioRxiv 10.1101/795310.
- ^ Jiawei, H., Kamber, M., Han, J., Kamber, M., Pei, J. 2012. Data Mining: Concepts and Techniques. Morgan Kaufmann, Wlatham, EE.UU.
- S2CID 165340425.
- S2CID 238733389.
- ^
Garfield, E. (1955). "Citation Indexes for Science: A New Dimension in Documentation through Association of Ideas". PMID 14385826.
- ^
Garfield, Eugene (2011). "The evolution of the Science Citation Index" (PDF). PMID 17407063.
- ^ Garfield, Eugene (1963). "Science Citation Index" (PDF). University of Pennsylvania Garfield Library. pp. v–xvi. Retrieved 2013-05-27.
- ^
"History of Citation Indexing". Clarivate Analytics. November 2010. Retrieved 2010-11-04.
- ^ "Science Citation Index Expanded". Retrieved 2017-01-17.
- ^
Ma, Jiupeng; Fu, Hui-Zhen; Ho, Yuh-Shan (December 2012). "The Top-cited Wetland Articles in Science Citation Index Expanded: characteristics and hotspots". S2CID 18502338.
- ^
Ho, Yuh-Shan (2012). "The top-cited research works in the Science Citation Index Expanded" (PDF). S2CID 1301373.
- ^ "Acknowledgement vs. Acknowledgment". 22 September 2012.
- ISBN 1-59593-163-5.
- PMID 15601767.
- ^ "PLOS Collections". Public Library of Science (PLOS). 3 November 2021.
Altmetrics is the study and use of nontraditional scholarly impact measures that are based on activity in web-based environments
- ^ "The "alt" does indeed stand for "alternative"" Jason Priem, leading author in the Altmetrics Manifesto comment 592
- S2CID 11113356.
- PMID 26719483.
- ^ a b c Priem, Jason; Taraborelli, Dario; Groth, Paul; Neylon, Cameron (September 28, 2011). "Altmetrics: A manifesto (v 1.01)". Altmetrics.
- ^ Binfield, Peter (9 November 2009). "Article-Level Metrics at PLoS - what are they, and why should you care?" (Video). University of California, Berkeley. Archived from the original on 2021-12-12.
- OCLC 906269135.
Altmetrics and article-level metrics are sometimes used interchangeably, but there are important differences: article-level metrics also include citations and usage data; ...
- ISSN 0018-9235.
- .
- PMID 29596415.
- hdl:10315/33652.
- ISBN 978-1-4503-5563-6.
- .
- S2CID 12359334.
External links
- S2CID 3183215.
- Harnad, S (2008). "Validating Research Performance Metrics Against Peer Rankings". Ethics in Science and Environmental Politics. 8 (11): 103–107. .
- The Places & Spaces: Mapping Science exhibit at the American Museum of Science and Energy, September 7, 2007 – January 7, 2008.
- Over-optimization of academic publishing metrics: observing Goodhart's Law in action GigaScience, Volume 8, Issue 6, June 2019