Shi, D.; Rousseau, R.; Yang, L.; Li, J.: ¬A journal's impact factor is influenced by changes in publication delays of citing journals (2017)
0.01
0.0051744715 = product of:
0.020697886 = sum of:
0.012270111 = product of:
0.03681033 = sum of:
0.03681033 = weight(_text_:problem in 3441) [ClassicSimilarity], result of:
0.03681033 = score(doc=3441,freq=2.0), product of:
0.13082431 = queryWeight, product of:
4.244485 = idf(docFreq=1723, maxDocs=44218)
0.030822188 = queryNorm
0.28137225 = fieldWeight in 3441, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.244485 = idf(docFreq=1723, maxDocs=44218)
0.046875 = fieldNorm(doc=3441)
0.33333334 = coord(1/3)
0.008427775 = product of:
0.025283325 = sum of:
0.025283325 = weight(_text_:29 in 3441) [ClassicSimilarity], result of:
0.025283325 = score(doc=3441,freq=2.0), product of:
0.108422816 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.030822188 = queryNorm
0.23319192 = fieldWeight in 3441, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.046875 = fieldNorm(doc=3441)
0.33333334 = coord(1/3)
0.25 = coord(2/8)
- Abstract
- In this article we describe another problem with journal impact factors by showing that one journal's impact factor is dependent on other journals' publication delays. The proposed theoretical model predicts a monotonically decreasing function of the impact factor as a function of publication delay, on condition that the citation curve of the journal is monotone increasing during the publication window used in the calculation of the journal impact factor; otherwise, this function has a reversed U shape. Our findings based on simulations are verified by examining three journals in the information sciences: the Journal of Informetrics, Scientometrics, and the Journal of the Association for Information Science and Technology.
- Date
- 16.11.2017 13:29:52