Colliander, C.: ¬A novel approach to citation normalization : a similarity-based method for creating reference sets (2015)
0.01
0.011991608 = product of:
0.035974823 = sum of:
0.035974823 = weight(_text_:based in 1663) [ClassicSimilarity], result of:
0.035974823 = score(doc=1663,freq=4.0), product of:
0.15283063 = queryWeight, product of:
3.0129938 = idf(docFreq=5906, maxDocs=44218)
0.050723847 = queryNorm
0.23539014 = fieldWeight in 1663, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.0129938 = idf(docFreq=5906, maxDocs=44218)
0.0390625 = fieldNorm(doc=1663)
0.33333334 = coord(1/3)
- Abstract
- A similarity-oriented approach for deriving reference values used in citation normalization is explored and contrasted with the dominant approach of utilizing database-defined journal sets as a basis for deriving such values. In the similarity-oriented approach, an assessed article's raw citation count is compared with a reference value that is derived from a reference set, which is constructed in such a way that articles in this set are estimated to address a subject matter similar to that of the assessed article. This estimation is based on second-order similarity and utilizes a combination of 2 feature sets: bibliographic references and technical terminology. The contribution of an article in a given reference set to the reference value is dependent on its degree of similarity to the assessed article. It is shown that reference values calculated by the similarity-oriented approach are considerably better at predicting the assessed articles' citation count compared to the reference values given by the journal-set approach, thus significantly reducing the variability in the observed citation distribution that stems from the variability in the articles' addressed subject matter.
