{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T12:09:35Z","timestamp":1778242175764,"version":"3.51.4"},"reference-count":21,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2016,7,11]],"date-time":"2016-07-11T00:00:00Z","timestamp":1468195200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7,11]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 Scientific abstracts reproduce only part of the information and the complexity of argumentation in a scientific article. The purpose of this paper provides a first analysis of the similarity between the text of scientific abstracts and the body of articles, using sentences as the basic textual unit. It contributes to the understanding of the structure of abstracts. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 Using sentence-based similarity metrics, the authors quantify the phenomenon of text re-use in abstracts and examine the positions of the sentences that are similar to sentences in abstracts in the introduction, methods, results and discussion structure, using a corpus of over 85,000 research articles published in the seven Public Library of Science journals. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 The authors provide evidence that 84 percent of abstract have at least one sentence in common with the body of the paper. Studying the distributions of sentences in the body of the articles that are re-used in abstracts, the authors show that there exists a strong relation between the rhetorical structure of articles and the zones that authors re-use when writing abstracts, with sentences mainly coming from the beginning of the introduction and the end of the conclusion. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 Scientific abstracts contain what is considered by the author(s) as information that best describe documents\u2019 content. This is a first study that examines the relation between the contents of abstracts and the rhetorical structure of scientific articles. The work might provide new insight for improving automatic abstracting tools as well as information retrieval approaches, in which text organization and structure are important features.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/jdoc-09-2015-0111","type":"journal-article","created":{"date-parts":[[2016,6,13]],"date-time":"2016-06-13T08:17:00Z","timestamp":1465805820000},"page":"636-647","source":"Crossref","is-referenced-by-count":29,"title":["On the composition of scientific abstracts"],"prefix":"10.1108","volume":"72","author":[{"given":"Iana","family":"Atanassova","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Bertin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent","family":"Larivi\u00e8re","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020121421413170900_b1","doi-asserted-by":"crossref","unstructured":"Andrade, C.\n                (2011), \u201cHow to write a good abstract for a scientific paper or conference presentation\u201d, \n                  Indian Journal of Psychiatry\n               , Vol. 53 No. 2, pp. 172-175. doi: 10.4103\/0019-5545.82558.","DOI":"10.4103\/0019-5545.82558"},{"key":"key2020121421413170900_b2","doi-asserted-by":"crossref","unstructured":"Banerjee, S.\n                and \n                  Pedersen, T.\n                (2002), \u201cAn adapted Lesk algorithm for word sense disambiguation using wordNet\u201d, in \n                  Gelbukh, A.F.\n                (Ed.), Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing, Springer, Berlin and Heidelberg, pp. 136-145.","DOI":"10.1007\/3-540-45715-1_11"},{"key":"key2020121421413170900_b3","doi-asserted-by":"crossref","unstructured":"Bertin, M.\n               , \n                  Atanassova, I.\n               , \n                  Larivi\u00e8re, V.\n                and \n                  Gingras, Y.\n                (2016), \u201cThe invariant distribution of references in scientific papers\u201d, \n                  Journal of the Association for Information Science and Technology\n               , Vol. 67 No. 1, pp. 164-177. doi: 10.1002\/asi.23367.","DOI":"10.1002\/asi.23367"},{"key":"key2020121421413170900_b4","doi-asserted-by":"crossref","unstructured":"Elkiss, A.\n               , \n                  Shen, S.\n               , \n                  Fader, A.\n               , \n                  Erkan, G.\n               , \n                  States, D.\n                and \n                  Radev, D.\n                (2008), \u201cBlind men and elephants: what do citation summaries tell us about a research article?\u201d, \n                  Journal of the American Society for Information Science and Technology\n               , Vol. 59 No. 2003, pp. 51-62. doi: 10.1002\/asi.20707.","DOI":"10.1002\/asi.20707"},{"key":"key2020121421413170900_b5","unstructured":"Gabrilovich, E.\n                and \n                  Markovitch, S.\n                (2007), \u201cComputing semantic relatedness using Wikipedia-based explicit semantic analysis\u201d, The International Joint Conference on Artificial Intelligence, Vol. 7, pp. 1606-1611."},{"key":"key2020121421413170900_b6","doi-asserted-by":"crossref","unstructured":"Gomaa, W.H.\n                and \n                  Fahmy, A.A.\n                (2013), \u201cA survey of text similarity approaches\u201d, \n                  International Journal of Computer Applications\n               , Vol. 68 No. 13, pp. 13-18.","DOI":"10.5120\/11638-7118"},{"key":"key2020121421413170900_b7","unstructured":"Guo, Y.\n               , \n                  Korhonen, A.\n               , \n                  Liakata, M.\n               , \n                  Karolinska, I.S.\n               , \n                  Sun, L.\n                and \n                  Stenius, U.\n                (2010), \u201cIdentifying the information structure of scientific abstracts: an investigation of three different schemes\u201d, Proceedings of the 2010 Workshop on Biomedical Natural Language Processing. Association for Computational Linguistics, pp. 99-107."},{"key":"key2020121421413170900_b8","doi-asserted-by":"crossref","unstructured":"Hall, M.\n               , \n                  Frank, E.\n                and \n                  Holmes, G.\n                (2009), \u201cThe WEKA data mining software: an update\u201d, \n                  ACM SIGKDD Explorations Newsletter\n               , Vol. 11 No. 1, pp. 10-18.","DOI":"10.1145\/1656274.1656278"},{"key":"key2020121421413170900_b10","doi-asserted-by":"crossref","unstructured":"Hartley, J.\n                (2008), \n                  Academic Writing and Publishing: A Practical Handbook\n               , Routledge, London.","DOI":"10.4324\/9780203927984"},{"key":"key2020121421413170900_b9","doi-asserted-by":"crossref","unstructured":"Hartley, J.\n                (2014), \u201cCurrent findings from research on structured abstracts: an update\u201d, \n                  Journal of the Medical Library Association\n               , 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