{"id":"https://openalex.org/W4213379421","doi":"https://doi.org/10.1007/978-3-030-96957-8_5","title":"Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics","display_name":"Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4213379421","doi":"https://doi.org/10.1007/978-3-030-96957-8_5"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-96957-8_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-96957-8_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5069191647","display_name":"Daniel E. Acu\u00f1a","orcid":"https://orcid.org/0000-0002-7765-1595"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel E. Acuna","raw_affiliation_strings":["School of Information Studies, Syracuse University, Syracuse, NY, 13244, USA"],"raw_orcid":"https://orcid.org/0000-0002-7765-1595","affiliations":[{"raw_affiliation_string":"School of Information Studies, Syracuse University, Syracuse, NY, 13244, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035391706","display_name":"Zijun Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zijun Yi","raw_affiliation_strings":["School of Information Studies, Syracuse University, Syracuse, NY, 13244, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Studies, Syracuse University, Syracuse, NY, 13244, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042302841","display_name":"Lizhen Liang","orcid":"https://orcid.org/0000-0001-9329-2767"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lizhen Liang","raw_affiliation_strings":["School of Information Studies, Syracuse University, Syracuse, NY, 13244, USA"],"raw_orcid":"https://orcid.org/0000-0001-9329-2767","affiliations":[{"raw_affiliation_string":"School of Information Studies, Syracuse University, Syracuse, NY, 13244, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061257463","display_name":"Han Zhuang","orcid":"https://orcid.org/0000-0001-8076-6660"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han Zhuang","raw_affiliation_strings":["School of Information Studies, Syracuse University, Syracuse, NY, 13244, USA"],"raw_orcid":"https://orcid.org/0000-0001-8076-6660","affiliations":[{"raw_affiliation_string":"School of Information Studies, Syracuse University, Syracuse, NY, 13244, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069191647"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.3687,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11937","display_name":"Research Data Management Practices","score":0.935699999332428,"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/computer-science","display_name":"Computer science","score":0.824070155620575},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.671845555305481},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5973881483078003},{"id":"https://openalex.org/keywords/bibliometrics","display_name":"Bibliometrics","score":0.578485369682312},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.471630334854126},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4633036255836487},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4350523352622986},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.43414193391799927},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4213625490665436},{"id":"https://openalex.org/keywords/prestige","display_name":"Prestige","score":0.4197050929069519},{"id":"https://openalex.org/keywords/impact-factor","display_name":"Impact factor","score":0.41794297099113464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.391498863697052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38144972920417786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3560575842857361},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13444939255714417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.824070155620575},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.671845555305481},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5973881483078003},{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.578485369682312},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.471630334854126},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4633036255836487},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4350523352622986},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.43414193391799927},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4213625490665436},{"id":"https://openalex.org/C2778329345","wikidata":"https://www.wikidata.org/wiki/Q919978","display_name":"Prestige","level":2,"score":0.4197050929069519},{"id":"https://openalex.org/C2779455604","wikidata":"https://www.wikidata.org/wiki/Q5330","display_name":"Impact factor","level":2,"score":0.41794297099113464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.391498863697052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38144972920417786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3560575842857361},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13444939255714417},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-96957-8_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-96957-8_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1696956904","https://openalex.org/W1897139626","https://openalex.org/W1968900087","https://openalex.org/W2014527937","https://openalex.org/W2124689612","https://openalex.org/W2342775100","https://openalex.org/W2396414759","https://openalex.org/W2487770199","https://openalex.org/W2547045893","https://openalex.org/W2561942675","https://openalex.org/W2575775275","https://openalex.org/W2922342942","https://openalex.org/W2993670251","https://openalex.org/W3001718749","https://openalex.org/W4233468685"],"related_works":["https://openalex.org/W2000180009","https://openalex.org/W4206817137","https://openalex.org/W4244475583","https://openalex.org/W2995742296","https://openalex.org/W2073883415","https://openalex.org/W2917728557","https://openalex.org/W2508627310","https://openalex.org/W2346158230","https://openalex.org/W2735115653","https://openalex.org/W3158243680"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}