Reference & Instruction Librarian Tom Harrod's guide contains tips on calculating an author- and journal-level metrics (H-index, G-index, Eigenfactor, Scimago Journal Rank, and others) and a case study of two authors.
Pros and Cons of Bibliometrics
Citation = Impact: If an article is cited, that typically indicates that the work has had some impact on others in the field.
Objectivity: Metrics are calculated using equations, reducing the chance of bias that might occur through human judgment.
Statistical Analysis: There are many tools available to provide authors with citation data and to perform advanced statistical analyses of that data.
Time-Saving: Relatively easy to implement, methods are straightforward.
Time: Citations take 1-2 years on average to accumulate (Priem, Piwowar & Hemminger, 2012), so newer works may be left out.
Impact Level: Citation analysis only works at the author or journal level; cannot measure impact at the article level.
Narrow Focus: Focuses on peer-reviewed articles only, leaves out other types of research such as datasets that comprise a large part of the global literature.
Language Bias: Article authors are more likely to cite works written in the same language as the article.
Priem, J., Piwowar, H.A., & Hemminger, B.M. (2013). Altmetrics in the wild: Using social media to explore scholarly impact. Pre-print. Retrieved from http://arxiv.org/abs/1203.4745v1.
Measuring Scholarly Research Impact - Books in the Himmelfarb Collection
by Blaise Cronin (Editor); Cassidy R. Sugimoto (Editor)
Call Number: Z669.8 .B49 2014
Publication Date: 2014-05-16
Measuring Scholarly Impact
by Ying Ding (Editor); Ronald Rousseau (Editor); Dietmar Wolfram (Editor)