Page 209 - Becoming Metric Wise
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                                                         Journal Citation Analysis

                 In this chapter we focused on the classical citation- based journal indi-
              cators. Yet, all methods known as altmetrics can, of course, also be
              applied to journals. This remark holds true also for download data which
              are typically collected for journals, see e.g. (Bollen et al., 2005). We
              should also mention that multidisciplinary journals such as Nature, Science
              or PLoS One do not lead themselves to the application of most journal
              indicators, as their content crosses the borders between many fields. Such
              journals should be considered as sets of articles, each of which to be con-
              sidered on their own merit.
                 Journals with a high impact factor attract a lot of attention, and hence,
              one may expect that a Matthew effect comes at play, increasing the impact
              factor. Yet, it is very difficult to prove this as many factors determine the
              citedness of an article, besides the journal in which it was published. In
              order to find out, one should theoretically publish the same article at the
              same time in different journals to determine the influence of the impact
              factor on citedness. This is, of course, normally not possible, but Perneger
              (2010) and Shanahan (2016) found a case where the same text was pub-
              lished in different journals, namely the case of biomedical reporting
              guidelines. As they are not scientific publications, but rather recommen-
              dations for authors, reporting guidelines are often published simulta-
              neously to encourage wider adoption and dissemination. Perneger and
              Shanahan found that the number of citations received by the same publi-
              cation was moderately strongly correlated to the JIF. Shanahan (2016) also
              found a strong positive correlation between the number of citations and
              the number of article accesses. Bornmann and Leydesdorff (2017) investi-
              gated and confirmed the skewness of the journal citation distribution.
              They found though that among all factors that may have an effect on
              resulting article citedness (number of cited references, number of authors,
              number of pages, JIF) the JIF has the strongest correlation with citation
              scores. A note of caution should be added here as this is not necessarily a
              causal effect. It might simply be that authors submit their best articles to
              high impact journals.
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