[Purpose/significance] Taking account of the difference of citation distribution, this paper presents a new calculation method for P-index, that is Pnew-index, to overcome the disadvantage of P-index which cannot reflect the distribution of citation.[Method/process] This paper introduced the rank-citation curve and the academic matrix to characterize the citation distribution of journals. By using the nonparametric statistical method, this paper divided the citation data into different zones, and reconstructed the calculation method of P-index based on the P-core and P-tail papers which had citations. In order to avoid the effect of subject difference, we selected 53 journals which had 5-year impact factors from the category of electrical and electronic engineering in the Web of Science database. Then, different indicators were calculated for each journal, including impact factors, 5-year impact factors, H-index, P-index, Pnew-index, Pc-index and Pt-index. This paper also analyzed the correlation of these indicators to verify the scientificity and effectiveness of the Pnew-index. [Result/conclusion] The result shows that the Pnew-index has strong correlation with H-index, P-index and other key indexes. Comparing with the P-index, the Pnew-index extends its advantage of high sensitivity and strong discrimination; has better visibility and recognition for the journals which have almost the same P-index but great different citation distribution; and can correct the deviation of P-index caused by citation distribution.
Chen Weijing
,
Zhang Yu'e
,
Lin Meifang
. Research on P-index:Journal Evaluation Under the Context of Citation Distribution[J]. Library and Information Service, 2017
, 61(17)
: 122
-130
.
DOI: 10.13266/j.issn.0252-3116.2017.17.016
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