Antonoyiannakis_volatility.xlsx

Here are the data for papers [1,2]. The 1st excel sheet ("theory") has data for Figures 1, 2 of [1]. The 2nd sheet ("JCR data") has data for Figures 3, 4, 5, 6 of [1], and Figure 1 of [2].<br>A. Data in the "theory" sheet:<br><br><b>2nd row</b>: Citation count, <i>c</i>, of a single paper published by a journal of Impact Factor <i>f</i>₁=10 and biennial size <i>N</i>₁. We have chosen <i>c</i> to range from 0 to 1000 in our data. <br><b>2nd column</b>: biennial size <i>N</i>₁ of journal. We have chosen <i>N</i>₁ to range from 10 to 2500 in our data. <br>The data in the cells from C3 to EC283 in the sheet are calculations of the volatility, Δ<i>f</i>(<i>c</i>), as defined in Eq. (4) of [1].<br>B. Data in the "JCR data" sheet:<br><br>The publication and citation data below are from each journal's <i>individual</i> Journal Citation Report for 2017. <b><br></b><b>Impact Factor</b>. These are data from the 2017 Journal Citation Reports (JCR).<br><b>Journal biennial size</b>, <i>N</i>_2Y. This is the number of articles &amp; reviews published in 2015-2016 by each journal.<br><b>Citation average</b>, <i>f</i>. This is the average number of citations received in 2017 by the articles &amp; reviews published in 2015-2016.<br><b>Volatility</b>, Δ<i>f</i>(<i>c</i>*): This is defined as <i>f - </i><i>f</i>* (see below for <i>f</i>*)<br><b>Relative volatility</b>, Δ<i>f_r</i>(<i>c</i>*): This is defined as (<i>f - </i><i>f</i>*)/<i>f</i>* (see below for <i>f</i>*)<br><b>Top-cited paper</b>, <i>c</i>*: This is the citation count of the top-cited paper in each journal, in the year 2017. <br><b>Citation average excluding top-cited paper</b>, <i>f</i>*: This is the average number of citations received in 2017 by the articles &amp; reviews published in 2015-2016, once we exclude the top-cited paper (article or review). <br><br><b>Acknowledgment</b><br>This work uses data, accessed through Columbia University, from the Web of Science and Journal Citation Reports (2017) with explicit consent from Clarivate Analytics.<br><br><br><b>References </b><br>[1] M. Antonoyiannakis,<i> Impact Factor volatility to a single paper: A comprehensive analysis</i>, Quantitative Science Studies (2020, accepted), https://arxiv.org/abs/1911.02533<br>[2] M. Antonoyiannakis, <i>How a single paper affects the Impact Factor: Implications for Scholarly Publishing</i>, Proceedings of the 17th Conference of the International Society on Scientometrics &amp; Informetrics, vol. II, 2306-2313 (2019), https://arxiv.org/abs/1906.02660