2021
Conference article  Open Access

BIP! DB: a dataset of impact measures for scientific publications

Vergoulis T., Kanellos I., Atzori C., Mannocci A., Chatzopoulos S., La Bruzzo S., Manola N., Manghi P.

Scientometrics  Information Retrieval (cs.IR)  Research assessment  FOS: Computer and information sciences  Computer Science - Information Retrieval  Digital Libraries (cs.DL)  Computer Science - Digital Libraries  Research impact 

The growth rate of the number of scientific publications is constantly increasing, creating important challenges in the identification of valuable research and in various scholarly data management applications, in general. In this context, measures which can effectively quantify the scientific impact could be invaluable. In this work, we present BIP! DB, an open dataset that contains a variety of impact measures calculated for a large collection of more than 100 million scientific publications from various disciplines.

Source: WWW 2021 - Companion of the World Wide Web Conference, pp. 456–460, Online conference, 13/04/2021


[1] Johan Bollen, Herbert Van de Sompel, Aric Hagberg, and Ryan Chute. 2009. A principal component analysis of 39 scientific impact measures. PloS one 4, 6 (2009), e6022.
[2] Lutz Bornmann and Rüdiger Mutz. 2015. Growth rates of modern science: a bibliometric analysis based on the number of publications and cited references. JASIST 66, 11 (2015), 2215-2222.
[3] Peng Chen, Huafeng Xie, Sergei Maslov, and Sidney Redner. 2007. Finding scientific gems with Google's PageRank algorithm. Journal of Informetrics 1, 1 (2007), 8-15.
[4] Ronald Fagin, Ravi Kumar, and Dakshinamurthi Sivakumar. 2003. Comparing top k lists. SIAM Journal on discrete mathematics 17, 1 (2003), 134-160.
[5] Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, and Kristina Lerman. 2011. Time-aware ranking in dynamic citation networks. In Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on. IEEE, 373-380.
[6] Ginny Hendricks, Dominika Tkaczyk, Jennifer Lin, and Patricia Feeney. 2020. Crossref: The sustainable source of community-owned scholarly metadata. 1, 1 (2020), 414-427. https://doi.org/10.1162/qss_a_00022
[7] John PA Ioannidis. 2005. Why most published research findings are false. PLoS medicine 2, 8 (2005), e124.
[8] Ilias Kanellos, Thanasis Vergoulis, Dimitris Sacharidis, Theodore Dalamagas, and Yannis Vassiliou. 2019. Impact-Based Ranking of Scientific Publications: A Survey and Experimental Evaluation. IEEE TKDE (2019).
[9] Ilias Kanellos, Thanasis Vergoulis, Dimitris Sacharidis, Theodore Dalamagas, and Yannis Vassiliou. 2020. Ranking Papers by their Short-Term Scientific Impact. arXiv:2006.00951 [cs.DL]
[10] Nan Ma, Jiancheng Guan, and Yi Zhao. 2008. Bringing PageRank to the citation analysis. Information Processing & Management 44, 2 (2008), 800-810.
[11] Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. 1999. The PageRank citation ranking: Bringing order to the web. (1999).
[12] George Papastefanatos, Elli Papadopoulou, Marios Meimaris, Antonis Lempesis, Stefania Martziou, Paolo Manghi, and Natalia Manola. 2020. Open Science Observatory: Monitoring Open Science in Europe. In AIMinScience 2020 (Communications in Computer and Information Science, Vol. 1260). Springer, 341-346.
[13] Silvio Peroni and David M. Shotton. 2020. OpenCitations, an infrastructure organization for open scholarship. Quant. Sci. Stud. 1, 1 (2020), 428-444.
[14] Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of WWW '15 Companion. 243-246.
[15] Derek R Smith. 2009. A 30-year citation analysis of bibliometric trends at the Archives of Environmental Health, 1975-2004. Archives of environmental & occupational health 64, sup1 (2009), 43-54.
[16] Thanasis Vergoulis, Serafeim Chatzopoulos, Ilias Kanellos, Panagiotis Deligiannis, Christos Tryfonopoulos, and Theodore Dalamagas. 2019. BIP! Finder: Facilitating Scientific Literature Search by Exploiting
[17] Kuansan Wang, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Yuxiao Dong, and Anshul Kanakia. 2020. Microsoft Academic Graph: When experts are not enough. QSS 1, 1 (2020), 396-413.

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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:447176,
	title = {BIP! DB: a dataset of impact measures for scientific publications},
	author = {Vergoulis T. and Kanellos I. and Atzori C. and Mannocci A. and Chatzopoulos S. and La Bruzzo S. and Manola N. and Manghi P.},
	doi = {10.1145/3442442.3451369 and 10.48550/arxiv.2101.12001},
	booktitle = {WWW 2021 - Companion of the World Wide Web Conference, pp. 456–460, Online conference, 13/04/2021},
	year = {2021}
}

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