Graduate training, current affiliation and publishing books in political science
PS - Political Science and Politics, ISSN: 1049-0965, Vol: 35, Issue: 4, Page: 751-755
2002
- 15Citations
- 113Usage
- 5Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations15
- Citation Indexes15
- 15
- CrossRef4
- Usage113
- Downloads105
- Abstract Views8
- Captures5
- Readers5
Article Description
Scores of studies have measured the quality of political science departments. Generally speaking, these studies have taken two forms. Many have relied on scholars' survey responses to construct rankings of the major departments. For example, almost 50 years ago Keniston (1957) interviewed 25 department chairpersons and asked them to assess the quality of various programs, and, much more recently, the National Research Council (NRC 1995) asked 100 political scientists to rate the “scholarly quality of program faculty” in the nation's political science doctoral departments. In response to these opinion-based rankings, a number of researchers have developed what they claim to be more objective measures of department quality based on the research productivity of the faculty (Ballard and Mitchell 1998; Miller, Tien, and Peebler 1996; Robey 1979). While department rankings using these two methods are often similar, there are always noteworthy differences and these have generated an additional literature that explores the relationship between the rating systems (Garand and Graddy 1999; Jackman and Siverson 1996; Katz and Eagles 1996; Miller, Tien, and Peebler 1996).
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0036951907&origin=inward; http://dx.doi.org/10.1017/s1049096502001324; http://www.journals.cambridge.org/abstract_S1049096502001324; https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S1049096502001324; https://lib.dr.iastate.edu/pols_pubs/26; https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1022&context=pols_pubs; https://scholarworks.uni.edu/facpub/3442; https://scholarworks.uni.edu/cgi/viewcontent.cgi?article=4443&context=facpub
Cambridge University Press (CUP)
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