@inproceedings{f6d497d8e29349eaa364d14f2778660d,
title = "Citation count prediction using non-technical terms in abstracts",
abstract = "Researchers are required to find previous literature which is related to their research and has a scientific impact efficiently from a large number of publications. The target problem of this paper is predicting the citation count of each scholarly paper, that is, the number of citations from other scholarly papers, as the scientific impact. The authors tried to detect the high and low of the citation count of scholarly papers using only their abstracts, especially, non-technical terms used in them. They conducted a classification of abstracts of scholarly papers with high and low citation counts, and applied the classification also to the abstracts modified by deleting technical terms from them. The results of their experiments indicate that the scientific impact of a scholarly paper can be detected from information which is written in its abstract and is not related to the trend of research topics. The classification accuracy for detecting scholarly papers with the top or bottom 1% citation counts was 0.93, and that using the abstracts without technical terms was 0.90.",
keywords = "Citation count prediction, Document classification, Machine learning, Text analysis",
author = "Takahiro Baba and Kensuke Baba",
note = "Funding Information: This work was supported by JSPS KAKENHI Grant Number 15K00310.; 18th International Conference on Computational Science and Its Applications, ICCSA 2018 ; Conference date: 02-07-2018 Through 05-07-2018",
year = "2018",
doi = "10.1007/978-3-319-95162-1_25",
language = "English",
isbn = "9783319951614",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "366--375",
editor = "Elena Stankova and Rocha, {Ana Maria} and David Taniar and Osvaldo Gervasi and Eufemia Tarantino and Sanjay Misra and Apduhan, {Bernady O.} and Yeonseung Ryu and Beniamino Murgante and Torre, {Carmelo M.}",
booktitle = "Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings",
}