Page 109 - Journal of Library Science in China, Vol.45, 2019
P. 109

108   Journal of Library Science in China, Vol.11, 2019



              From Figure 5, it depicts that the overall distribution of social science and natural science is
            similar and Figure 5a and 5c reveals more obvious stratification in different disciplines than
            Figure 5b and 5d. Figures 5a and 5c show negative correlation and Figures 5b and 5d show
            positive correlation (when log transformation of CNKI downloads is not calculated, the linear
            regression coefficients will be higher, but when log transformation of website downloads is not
            calculated, the linear regression coefficients are still very low). Similarly, Zhao (2017) showed
            relatively higher correlation coefficient between citations and downloads in “Physics” and “Library,
            Information and Archival Science” and lower correlation coefficient in “Computer Science” and
            “Economics” (significance test has passed). Specifically, linear regression coefficients of social
            science and natural science are both low (even negative in “Math”) in journal official websites.
            In CNKI platform, linear regression coefficients of social sciences (Figure 5b) are higher than
            natural sciences (Figure 5d), and coefficients of each discipline in social sciences are similar, and
            coefficients of “Earth Science”, “Computer Science” and “Biology” in natural sciences are similar,
            but coefficient of Math is lower.
              In a word, downloads and citations are not correlated on journal official websites but correlated
            on CNKI platform. Combined with functions provided by CNKI platform, it is found that papers
            with higher downloads or citations are listed on the top of default search results pages, which
            attracts users to download and read “top papers”. But there are not similar functions on journal
            official websites. Users download papers with their original needs and judgement. Therefore, the
            above results reveal that user patterns of downloads and citations are affected by unique functions
            of different platforms.
               (4) Correlation analysis of website downloads and CNKI downloads
              In order to further reveal relations of website downloads and CNKI downloads, Spearman
            coefficient of each discipline and journal is calculated in Table 3 and 4. From Table 3, only
            “Library, Information and Archival Science” is moderately correlated, and other disciplines are not
            correlated or negatively correlated. From Table 4, only journal “Chinese Journal of Biologicals” is
            positively correlated, and 14 journals (in bold font) are moderately correlated. Overall, correlation
            between website downloads and CNKI downloads is low, which indicates that users’preferences
            for various platforms are quite different.


            Table 3. Spearman coefficient of CNKI downloads and website downloads in different disciplines
                       Disciplines          Correlation        Disciplines        Correlation
             Library, Information and Archival Science  0.406 ***  Computer Science  0.087 ***

             Management Science              0.324 ***        Earth Science         -0.013
             Economics                        0.035              Math              -0.219 ***
             Pedagogy                         0.065 *           Biology            0.316 ***
             (*p<0.05; **p<0.01; ***p<0.001)
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