Page 139 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 43
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ZHAO Xing / Exploring the measurement features of usage data for academic literature  139


               accumulation, besides measuring the statistical features of usage, this paper calculates the citation
               data of the sample literature set for a comparative study. See the descriptive statistics of the citation
               and usage data on the four disciplines in Table 2.


               Table 2. Descriptive statistics of the citation count and usage count of literature in four disciplines in 2013 (TC: total
               citation; U: total usage)
                      Discipline     Index   Max.    Min.   Ava.     Std.     K-S Z    K-S P
                                      TC      539     0     5.30     10.36    110.53   <0.001
                       Physics
                                       U     1568     0     26.38    36.44    85.13    <0.001
                                      TC      719     0     3.08     6.79     67.77    <0.001
                   Computer Science
                                       U      830     0     15.81    20.00    44.71    <0.001
                                      TC      82      0     2.25     3.74     36.66    <0.001
                      Economics
                                       U      707     0     15.64    16.30    23.94    <0.001
                  Library and Information   TC  48    0     2.24     3.542    15.85    <0.001
                       Science         U      392     0     28.24   27.888    9.35     <0.001


                 As shown in Table 2, no matter what the maximum or mean values are, the value of usage is
               always greater than that of citation, fully implying that usage is more discriminative and sensitive.
               Relative to extreme values, the mean value can more directly reflect the mean level of the data
               set. When comparing the mean levels of the usage of various disciplines, the data reveal a very
               interesting phenomenon. The mean usage count of Library and Information Science is even higher
               than that of physics, possibly because the scholars of Library and Information Science are more
               accustomed to and skilled at using WoS and other relevant platforms. This speculation can also be
               demonstrated by the conversion rate of “usage-citation”. The literature of Library and Information
               Science has a high usage count but a low citation count. The usage count is about 13 times greater
               than the citation count. For the literature of physics, the mean citation count is 5.3, and the mean
               usage count is only about five times the mean citation count, so the conversion rate is far higher
               than the rate of Library and Information Science. Assuming that the ratio of the number of acquired
               pieces of literature to the number of cited pieces of literature is basically fixed, the scholars of
               Library and Information Science largely acquire literature from the WoS platform whilst the
               scholars of physics probably tend to rely more on other channels. In addition, the mean usage count
               of computer science is also worthy of close attention, as its value is basically equal to the mean
               usage count of economics. In other words, although computer science is one of the disciplines
               attaching great importance to conference articles, its usage data suggest that the discipline also has
               a rather high usage count of journal articles. These results combine to reveal that in the statistical
               sense, the value feature of usage is not consistent with that of citation, but has its own feature or
               even shows its unique discipline difference in comparison to citation. The literature usage behavior
               of scholars from different disciplines will provide a topic for a future detailed comparison.
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