Citation analysis is an effective way to uncover links between works by multiple authors as well as to uncover more resources about a similar topic. From an administrative point of view, citation analysis can be used to determine the value, i.e., quantify, a scholar's paper and its impact on the field.
Citation Analysis Sources
Web of Science Core Collection
Searches a number of different citation analysis related databases, including:
Clicking the "Cited by..." button under the title of a resource provides a list of all the other indexed works that have cited the selected resource
The journal impact factor is a metric used to gauge the relative importance of a particular journal relative to other journals in its field. For scholars, being published in a journal with a high impact factor is a sign of prestige. It can carry considerable weight if you eventually apply for a position at a university or research institute.
A journal's impact factor is calculated by tallying, for a given year, the number of citations to its articles published over the previous two years, and dividing that figure by the total number of articles published in the journal over the previous two years. (See the Journal Citation Reports published by Thomson Reuters.)
Advantages
As one of the oldest and most used metrics for evaluating the impact of scholarly journals, the journal impact factor has a number of different advantages when it comes to evaluating the impact, importance and significance of a scholarly journal one may wish to publish their work in. These advantages include, but are not limited to, how well known the journal impact factor is, how easy it is to calculate and how it accounts for journals of different sizes and ages.
Renown
Simplicity
Equality
Disadvantages
Despite its popularity and widespread adoption, the journal impact factor has a number of disadvantages and flaws that scholars must be aware of, such as using self-citation to artificially boost the impact factor, publishing a large number of review articles and the "eigenlob" author self-citation phenomenon.
Self Citation
Review Articles
Eigenlob Author Self-Citation Phenomenon
Sources
Nisonger, T. E. (2004). The benefits and drawbacks of impact factor for journal collection management in libraries. The Serials Librarian 47(1): 57-75.
Falagas, M. E., & Alexiou, G. V. (2008). The top-ten in journal impact factor manipulation. Archivum Immunologiae et Therapiae Experimentalis, 56(4), 223-226.
Further Reading/Viewing
Altmetrics is a new and rapidly growing alternative approach to evaluating the impact of scholarly research. According to its founder Jason Priem, altmetrics is "the study and use of scholarly impact measures based on activity in online tools and environments". Altmetrics takes advantage of the speed and popularity of social media, news media and reference management tools to provide scholars with almost-real time feedback about who and what people are saying about their research.
Examples of data sources that altmetrics include are Twitter, Facebook, Youtube and various Blogs.
Advantages
There are a number of reasons to consider using altmetrics tools as a way to evaluate and demonstrate the impact of your work. Potential advantages include, but are not limited to, speed and relevancy.
Speed
Relevancy
Sources
Eysenbach, G. (2011). Can tweets predict citations? Metrics of social impact based on twitter and correlation with traditional metrics of scientific impact. Journal of Medical Internet research, 13(4), 1-20.
Galligan, F. (2013). Altmetrics: Rethinking the way we measure. Serials Review, 39(1), 56-61.
Disadvantages
Despite the potential advantages of altmetrics in terms of quickly assessing the impact and relevancy of scholarly work, they also have a number of drawbacks, such as issues of gaming, quality and comparability.
Gaming and Quality
Comparability
Sources
Brigham, T. J. (2014). An introduction to altmetrics. Medical Reference Services Quarterly, 33(4), 438-447.
Zahedi, Z., Costas, R., & Wouters, P. (2014). How well developed are altmetrics? A cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications. Scientometrics, 101(2), 1491-1513.
Further Reading/Viewing