Universities and Institutes of Higher Education measure the impact of their research for evaluating applications for recruitment and promotion, tenure , seeking grants for research, renewal & progress reports of current research projects. Universities also measure for accreditation, ranking agencies and assess the impact of the research in the Government and Social Sector. Inflibnet (a universities libraries network) with head-quarters at Ahmedabad (sponsored by MHRD) , maintains a portal to collate citation of publications by faculty & research community. Here is the Link https://irins.org/irins/
|Cites in 2014 to items published in||No. of Items published in|
|2013= 18682||2013= 348|
|2012= 20876||2012= 360|
|2011= 20265||2011= 349|
|2010= 17847||2010= 345|
|2009= 17730||2009= 352|
|SUM= 95400||SUM= 1754|
Google Scholar Metrics is another source of journal-level metrics. Google Scholar citations rank journals grouped by subject categories or language.
The metrics used are: h5-index defined as the h-index for articles published in the last five complete years. The largest number h such that h articles published in 2010-2014 have at least h citations each, and h5-median for a journal is the median number of citations for the articles that make up its h5-index. The screenshot below shows the Google Scholar ranking for journals under the Developmental Economics area.
It is a new approach to quantify the reach and impact of a published research. The originator of article-level metric is Public Library of Science (PLOS). In the print world count of citations is taken into account, but how an article is used, who is using it. But the discussion & immediate interactions about an article can be captured by Altmetrics. The article-level metrics is interchangeably used for Altmetrics, but they are not synonymous. To measure the impact of the article, traditional data points & data sources from social media are considered. Altmetrics: A new form of measuring research impact by adding on a wider set of metrics to traditional bibliographic rankings based on academic journal citation analysis Impact Story: is an open source, web based tool that provides open metrics & share the diverse impact of all research products. Altmetrics & Plumx is a commercial venture.
Resources to measure the Article level Metrics: The following resources provide article-level metrics
Altmetrics Tools As explained in the first section of this report, Article-Level Metrics (ALMs) incorporate data points from a variety of different data sources, some traditional (e.g., times cited) and some new (e.g., tweets). There are a number of tools that have emerged to capture and display these alternative metrics, or altmetrics. This appendix enumerates several of the more prominent ones.
Limitations of article metrics can be also due to differing social-media practices across academic disciplines and countries. Even within a discipline some article types may be more attractive for social media than others, confounding the metrics calculation and necessitating context evaluation.
Author Impact is qualified in terms of number of citations. One of the challenges of tracking the author’s having a complete list by creating an author’s profile with a persistent identifier such as ORCID ID, researcher ID etc.
Author metrics are used to track how often an author's work is cited, and demonstrate the reach and impact of a researcher's work, for use in grant applications, tenure, promotion and performance reviews. An author's impact is frequently quantified in terms of the number of citations to their publications.
H-Index – proposed by J.E. Hirsch in 2005, it measures a researcher’s impact based on number of citations to their work.
For example, if an author has h-index- 9, it means that out of total number of publications in his/her credit, 9 of them cited at least 9 times.
h-index = number of papers (h) with a citation number ≥ h. Example: If an author has an h-Index of 9, it means that out of the total number of published documents by that author, 9 of those documents have been cited 9 times.
Please note that the name you publish under may impact on your h-index; search for every variation of your name used in your publications. Web of Science and Scopus are the main source databases for the author h-index.
Publish or Perish - merge this data with that from Web of Science and Scopus, then deduplicate results
Note: The h-index is not widely used outside the Sciences. Social Science scholars may find the journal h-index useful when selecting where to publish.
Harzing's Publish and Perish Manual explains the g-index is calculated based on the distribution of citations received by a given researcher's publication. For example: A g-index of 20 means that an academic has published at least 20 articles that combined have received at least 400 citations. It was suggested in 2006 by Leo Egghe.
One of the main advantages of the g-Index is the inflated values of this index helps give credit to lesser cited or non-cited work whilst attributing credit for highly-cited papers.
The i10-Index, used solely by Google Scholar, was introduced in July 2011. It calculates the number of academic publications an author has written that have at least ten citations from others. This is one way to gauge the productivity of an author.
i10-Index = the number of publications with at least 10 citations. Learn more:
• About Google Scholar metrics
Note: In order to use the i10-Index authors must have a public Google Scholar profile.