Abstract
This paper summarizes the results of a comprehensive statistical analysis on a corpus of open access articles and contained figures. It gives an insight into quantitative relationships between illustrations or types of illustrations, caption lengths, subjects, publishers, author affiliations, article citations and others.
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Notes
- 1.
We refer to the Revised Field of Science and Technology (FOS) classification at http://www.oecd.org/sti/inno/38235147.pdf..
References
Agarwal, S., Yu, H.: FigSum: automatically generating structured text summaries for figures in biomedical literature, 6–10 (2009). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2815407/
Cabanac, G., Hubert, G., Hartley, J.: Solo versus collaborative writing: discrepancies in the use of tables and graphs in academic articles. J. Assoc. Inf. Sci. Technol. 65(4), 812–820 (2014)
Charbonnier, J., Sohmen, L., Rothman, J., Rohden, B., Wartena, C.: NOA: a search engine for reusable scientific images beyond the life sciences. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds.) ECIR 2018. LNCS, vol. 10772, pp. 797–800. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76941-7_78
Clark, C., Divvala, S.: PDFFigures 2.0: mining figures from research papers. In: Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries. JCDL 2016, pp. 143–152. ACM, New York (2016). https://doi.org/10.1145/2910896.2910904
Hegarty, P., Walton, Z.: The consequences of predicting scientific impact in psychology using journal impact factors 7(1), 72–78. https://doi.org/10.1177/1745691611429356
Lee, P., West, J., Howe, B.: Viziometrics: analyzing visual information in the scientific literature. IEEE Trans. Big Data 4, 117–129 (2018). https://doi.org/10.1109/TBDATA.2017.2689038
Liu, F., Jenssen, T.K., Nygaard, V., Sack, J., Hovig, E.: FigSearch: a figure legend indexing and classification system 20(16), 2880–2882. https://doi.org/10.1093/bioinformatics/bth316
Sohmen, L., Charbonnier, J., Blümel, I., Wartena, C., Heller, L.: Figures in scientific open access publications - underlying data (2018). https://doi.org/10.5281/zenodo.1295579
Xu, S., McCusker, J., Krauthammer, M.: Yale image finder (YIF): a new search engine for retrieving biomedical images 24(17), 1968–1970. https://doi.org/10.1093/bioinformatics/btn340
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This research was funded by the DFG under grant no. 315976924.
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Sohmen, L., Charbonnier, J., Blümel, I., Wartena, C., Heller, L. (2018). Figures in Scientific Open Access Publications. In: Méndez, E., Crestani, F., Ribeiro, C., David, G., Lopes, J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. Lecture Notes in Computer Science(), vol 11057. Springer, Cham. https://doi.org/10.1007/978-3-030-00066-0_19
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DOI: https://doi.org/10.1007/978-3-030-00066-0_19
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