{"id":"https://openalex.org/W2342073150","doi":"https://doi.org/10.1108/jdoc-09-2015-0111","title":"On the composition of scientific abstracts","display_name":"On the composition of scientific abstracts","publication_year":2016,"publication_date":"2016-06-13","ids":{"openalex":"https://openalex.org/W2342073150","doi":"https://doi.org/10.1108/jdoc-09-2015-0111","mag":"2342073150"},"language":"en","primary_location":{"id":"doi:10.1108/jdoc-09-2015-0111","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jdoc-09-2015-0111","pdf_url":null,"source":{"id":"https://openalex.org/S10082577","display_name":"Journal of Documentation","issn_l":"0022-0418","issn":["0022-0418","1758-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Documentation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046749782","display_name":"Iana Atanassova","orcid":"https://orcid.org/0000-0003-3571-4006"},"institutions":[{"id":"https://openalex.org/I4387153021","display_name":"Centre de Recherches Interdisciplinaires et Transculturelles","ror":"https://ror.org/0511qfq70","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4387153021","https://openalex.org/I4405256580"]},{"id":"https://openalex.org/I90843659","display_name":"Universit\u00e9 de Franche-Comt\u00e9","ror":"https://ror.org/03pcc9z86","country_code":"FR","type":"education","lineage":["https://openalex.org/I90843659"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Iana Atanassova","raw_affiliation_strings":["University of Franche-Comte, Besancon, France","CRIT - Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (UFR SLHS 32 rue M\u00e9gevand 25030 Besan\u00e7on Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Franche-Comte, Besancon, France","institution_ids":["https://openalex.org/I90843659"]},{"raw_affiliation_string":"CRIT - Centre de recherches interdisciplinaires et transculturelles - UFC (UR 3224) (UFR SLHS 32 rue M\u00e9gevand 25030 Besan\u00e7on Cedex - France)","institution_ids":["https://openalex.org/I4387153021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006478161","display_name":"Marc Bertin","orcid":"https://orcid.org/0000-0003-1803-6952"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Marc Bertin","raw_affiliation_strings":["Universit\u00e9 du Quebec \u00e0 Montr\u00e9al, Montreal, Canada","CIRST - Centre Interuniversitaire de Rercherche sur la Science et la Technologie (Centre interuniversitaire de recherche\r\nsur la science et la technologie\r\nUniversit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al\r\nC.P. 8888, succ. Centre-ville\r\nMontr\u00e9al (Qu\u00e9bec)\r\nH3C 3P8 - Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Quebec \u00e0 Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I159129438"]},{"raw_affiliation_string":"CIRST - Centre Interuniversitaire de Rercherche sur la Science et la Technologie (Centre interuniversitaire de recherche\r\nsur la science et la technologie\r\nUniversit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al\r\nC.P. 8888, succ. Centre-ville\r\nMontr\u00e9al (Qu\u00e9bec)\r\nH3C 3P8 - Canada)","institution_ids":["https://openalex.org/I159129438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068542997","display_name":"Vincent Larivi\u00e8re","orcid":"https://orcid.org/0000-0002-2733-0689"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vincent Larivi\u00e8re","raw_affiliation_strings":["Universit\u00e9 de Montr\u00e9al, Montreal, Canada","CIRST - Centre interuniversitaire de recherche sur la science et la technologie (Case postale 8888, succursale Centre-ville Montr\u00e9al (Qu\u00e9bec) H3C 3P8 - Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"CIRST - Centre interuniversitaire de recherche sur la science et la technologie (Case postale 8888, succursale Centre-ville Montr\u00e9al (Qu\u00e9bec) H3C 3P8 - Canada)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7641,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95260636,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"72","issue":"4","first_page":"636","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7467625737190247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7221283912658691},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.6896686553955078},{"id":"https://openalex.org/keywords/argumentation-theory","display_name":"Argumentation theory","score":0.6552427411079407},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6173062324523926},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.593729555606842},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.5867552757263184},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5785351395606995},{"id":"https://openalex.org/keywords/scientific-writing","display_name":"Scientific writing","score":0.4879166781902313},{"id":"https://openalex.org/keywords/composition","display_name":"Composition (language)","score":0.4856644868850708},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4478963017463684},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.38905882835388184},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3571949899196625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2708006203174591},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.16853782534599304},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.08888134360313416}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7467625737190247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221283912658691},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.6896686553955078},{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.6552427411079407},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6173062324523926},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.593729555606842},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.5867552757263184},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5785351395606995},{"id":"https://openalex.org/C2778949450","wikidata":"https://www.wikidata.org/wiki/Q1965486","display_name":"Scientific writing","level":2,"score":0.4879166781902313},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.4856644868850708},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4478963017463684},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.38905882835388184},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3571949899196625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2708006203174591},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.16853782534599304},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.08888134360313416},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1108/jdoc-09-2015-0111","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jdoc-09-2015-0111","pdf_url":null,"source":{"id":"https://openalex.org/S10082577","display_name":"Journal of Documentation","issn_l":"0022-0418","issn":["0022-0418","1758-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Documentation","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01742168v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01742168","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Documentation, 2016, 72 (4), pp.636 - 647. ⟨10.1108/jdoc-09-2015-0111⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:papyrus.bib.umontreal.ca:1866/23290","is_oa":false,"landing_page_url":"http://hdl.handle.net/1866/23290","pdf_url":null,"source":{"id":"https://openalex.org/S4306402422","display_name":"Papyrus : Institutional Repository (Universit\u00e9 de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I70931966","host_organization_name":"Universit\u00e9 de Montr\u00e9al","host_organization_lineage":["https://openalex.org/I70931966"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W432381473","https://openalex.org/W629517129","https://openalex.org/W1521590202","https://openalex.org/W1561908597","https://openalex.org/W1593090608","https://openalex.org/W1647671624","https://openalex.org/W1978394996","https://openalex.org/W2093144174","https://openalex.org/W2100935296","https://openalex.org/W2107363066","https://openalex.org/W2107972503","https://openalex.org/W2110854897","https://openalex.org/W2120779048","https://openalex.org/W2133990480","https://openalex.org/W2142198188","https://openalex.org/W2155622363","https://openalex.org/W2162076912","https://openalex.org/W2162853073","https://openalex.org/W2164139207","https://openalex.org/W2164521197","https://openalex.org/W2171313960","https://openalex.org/W2402929825","https://openalex.org/W2611200784","https://openalex.org/W2953332543","https://openalex.org/W4230658232","https://openalex.org/W4240811499","https://openalex.org/W4245681736","https://openalex.org/W6683991689"],"related_works":["https://openalex.org/W2041415459","https://openalex.org/W2593155302","https://openalex.org/W2072812638","https://openalex.org/W2069109350","https://openalex.org/W1517164773","https://openalex.org/W72885197","https://openalex.org/W1994897850","https://openalex.org/W2929477964","https://openalex.org/W2481970174","https://openalex.org/W2803860685"],"abstract_inverted_index":{"Purpose":[0],"\u2013":[1,60,115,195],"Scientific":[2,196],"abstracts":[3,36,74,88,197,225],"reproduce":[4],"only":[5],"part":[6],"of":[7,13,21,28,34,40,54,57,70,79,100,111,123,135,141,146,167,185,191,224,230],"the":[8,11,29,32,38,45,52,55,65,68,77,80,90,107,133,136,139,144,147,154,164,170,183,186,189,192,203,219,222,227],"information":[9,206,247],"and":[10,37,75,94,169,188,226,254],"complexity":[12],"argumentation":[14],"in":[15,73,87,89,106,130,143,152,250],"a":[16,25,98,160,214],"scientific":[17,35,231],"article.":[18],"The":[19,116,233],"purpose":[20],"this":[22],"paper":[23],"provides":[24],"first":[26,215],"analysis":[27],"similarity":[30,63],"between":[31,163,221],"text":[33,71,252],"body":[39,134,145],"articles,":[41],"using":[42,97],"sentences":[43,81,86,142,179],"as":[44,205,244,246],"basic":[46],"textual":[47],"unit.":[48],"It":[49],"contributes":[50],"to":[51,85],"understanding":[53],"structure":[56,166,229,255],"abstracts.":[58],"Design/methodology/approach":[59],"Using":[61],"sentence-based":[62],"metrics,":[64],"authors":[66,117,155,173],"quantify":[67],"phenomenon":[69],"re-use":[72,174],"examine":[76],"positions":[78],"that":[82,120,149,157,172,207,217],"are":[83,150,256],"similar":[84],"introduction,":[91],"methods,":[92],"results":[93],"discussion":[95],"structure,":[96],"corpus":[99],"over":[101],"85,000":[102],"research":[103],"articles":[104,148,168],"published":[105],"seven":[108],"Public":[109],"Library":[110],"Science":[112],"journals.":[113],"Findings":[114],"provide":[118,236],"evidence":[119],"84":[121],"percent":[122],"abstract":[124],"have":[125],"at":[126],"least":[127],"one":[128],"sentence":[129],"common":[131],"with":[132,178],"paper.":[137],"Studying":[138],"distributions":[140],"re-used":[151],"abstracts,":[153,177],"show":[156],"there":[158],"exists":[159],"strong":[161],"relation":[162,220],"rhetorical":[165,228],"zones":[171],"when":[175],"writing":[176],"mainly":[180],"coming":[181],"from":[182],"beginning":[184],"introduction":[187],"end":[190],"conclusion.":[193],"Originality/value":[194],"contain":[198],"what":[199],"is":[200,213],"considered":[201],"by":[202],"author(s)":[204],"best":[208],"describe":[209],"documents\u2019":[210],"content.":[211],"This":[212],"study":[216],"examines":[218],"contents":[223],"articles.":[232],"work":[234],"might":[235],"new":[237],"insight":[238],"for":[239],"improving":[240],"automatic":[241],"abstracting":[242],"tools":[243],"well":[245],"retrieval":[248],"approaches,":[249],"which":[251],"organization":[253],"important":[257],"features.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}