{"id":"https://openalex.org/W2891039848","doi":"https://doi.org/10.1108/oir-01-2017-0028","title":"Predicting the quality of health web documents using their characteristics","display_name":"Predicting the quality of health web documents using their characteristics","publication_year":2018,"publication_date":"2018-09-05","ids":{"openalex":"https://openalex.org/W2891039848","doi":"https://doi.org/10.1108/oir-01-2017-0028","mag":"2891039848"},"language":"en","primary_location":{"id":"doi:10.1108/oir-01-2017-0028","is_oa":false,"landing_page_url":"https://doi.org/10.1108/oir-01-2017-0028","pdf_url":null,"source":{"id":"https://openalex.org/S931548824","display_name":"Online Information Review","issn_l":"1468-4527","issn":["1468-4527","1468-4535"],"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":"Online Information Review","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/A5019083711","display_name":"Melinda Oroszl\u00e1nyov\u00e1","orcid":"https://orcid.org/0000-0002-4169-9861"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Melinda Oroszl\u00e1nyov\u00e1","raw_affiliation_strings":["Department of Informatics Engineering, University of Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics Engineering, University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061671893","display_name":"Carla Teixeira Lopes","orcid":"https://orcid.org/0000-0002-4202-791X"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Carla Teixeira Lopes","raw_affiliation_strings":["Department of Informatics Engineering, University of Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics Engineering, University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065124975","display_name":"S\u00e9rgio Nunes","orcid":"https://orcid.org/0000-0002-2693-988X"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"S\u00e9rgio Nunes","raw_affiliation_strings":["Department of Informatics Engineering, University of Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics Engineering, University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003215010","display_name":"Cristina Ribeiro","orcid":"https://orcid.org/0000-0001-6150-0090"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Cristina Ribeiro","raw_affiliation_strings":["Department of Informatics Engineering, University of Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics Engineering, University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I182534213"],"apc_list":null,"apc_paid":null,"fwci":2.1735,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89181769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"42","issue":"7","first_page":"1024","last_page":"1047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10737","display_name":"Health Literacy and Information Accessibility","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10737","display_name":"Health Literacy and Information Accessibility","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13976","display_name":"Web visibility and informetrics","score":0.9894999861717224,"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":0.7242857813835144},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.7022864818572998},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48389777541160583},{"id":"https://openalex.org/keywords/certification","display_name":"Certification","score":0.47825944423675537},{"id":"https://openalex.org/keywords/accreditation","display_name":"Accreditation","score":0.4750133454799652},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47299179434776306},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.44978320598602295},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.44194090366363525},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4366891384124756},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41214632987976074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19403845071792603},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11177143454551697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242857813835144},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.7022864818572998},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48389777541160583},{"id":"https://openalex.org/C46304622","wikidata":"https://www.wikidata.org/wiki/Q374814","display_name":"Certification","level":2,"score":0.47825944423675537},{"id":"https://openalex.org/C61521584","wikidata":"https://www.wikidata.org/wiki/Q705899","display_name":"Accreditation","level":2,"score":0.4750133454799652},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47299179434776306},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.44978320598602295},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.44194090366363525},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4366891384124756},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41214632987976074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19403845071792603},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11177143454551697},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/oir-01-2017-0028","is_oa":false,"landing_page_url":"https://doi.org/10.1108/oir-01-2017-0028","pdf_url":null,"source":{"id":"https://openalex.org/S931548824","display_name":"Online Information Review","issn_l":"1468-4527","issn":["1468-4527","1468-4535"],"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":"Online Information Review","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W23876677","https://openalex.org/W1526134783","https://openalex.org/W1556034692","https://openalex.org/W1619012836","https://openalex.org/W1722724786","https://openalex.org/W1869287417","https://openalex.org/W1872909666","https://openalex.org/W1904811031","https://openalex.org/W1911697890","https://openalex.org/W1922678492","https://openalex.org/W1956351727","https://openalex.org/W1976982606","https://openalex.org/W1997208993","https://openalex.org/W2003689064","https://openalex.org/W2023793892","https://openalex.org/W2039704177","https://openalex.org/W2061474427","https://openalex.org/W2063790470","https://openalex.org/W2078185795","https://openalex.org/W2079175517","https://openalex.org/W2087960871","https://openalex.org/W2116190778","https://openalex.org/W2118925472","https://openalex.org/W2142854083","https://openalex.org/W2142905080","https://openalex.org/W2147459514","https://openalex.org/W2150943872","https://openalex.org/W2154177209","https://openalex.org/W2155520985","https://openalex.org/W2165337677","https://openalex.org/W2170921196","https://openalex.org/W2396291300","https://openalex.org/W2589983564","https://openalex.org/W2616329362","https://openalex.org/W2766022173","https://openalex.org/W2774942998","https://openalex.org/W4230995913","https://openalex.org/W4292361644"],"related_works":["https://openalex.org/W2007960770","https://openalex.org/W2476517534","https://openalex.org/W2183187020","https://openalex.org/W2509459056","https://openalex.org/W2371811190","https://openalex.org/W4385407997","https://openalex.org/W2252873749","https://openalex.org/W2322909062","https://openalex.org/W2414572963","https://openalex.org/W2278986808"],"abstract_inverted_index":{"Purpose":[0],"The":[1,58,65,107,196,241,263,284,348],"quality":[2,39,54,99,171,220,326],"of":[3,55,62,67,75,90,100,113,128,130,167,185,239,260,274,301,305,311,330,350],"consumer-oriented":[4],"health":[5,114,367],"information":[6,368],"on":[7,22,44,79,141,276],"the":[8,27,38,53,73,88,98,165,205,209,223,227,231,247,272,277,282,331,351,375],"web":[9,56,76,122,152],"has":[10,308,325],"been":[11,49,342],"defined":[12],"and":[13,116,132,187,194,222,303,370],"evaluated":[14],"in":[15,281,345],"several":[16],"studies.":[17],"Usually":[18],"it":[19,93,217],"is":[20,33,60,70,94,159],"based":[21],"evaluation":[23],"criteria":[24],"identified":[25],"by":[26,357,378],"researchers":[28],"and,":[29],"so":[30],"far,":[31],"there":[32],"no":[34],"agreed":[35],"standard":[36],"for":[37],"indicators":[40,238],"to":[41,51,71,96,163,216,230,249,360,373],"use.":[42],"Based":[43,140],"such":[45,63],"indicators,":[46],"tools":[47],"have":[48,154,266,339],"developed":[50],"evaluate":[52],"information.":[57,380],"HONcode":[59,83,232],"one":[61,198,207,225],"tools.":[64],"purpose":[66],"this":[68,346],"paper":[69,316],"investigate":[72],"influence":[74],"document":[77,102,169,324],"features":[78,333],"their":[80,119,138],"quality,":[81],"using":[82,103,161],"as":[84],"ground":[85],"truth,":[86],"with":[87,137,246,256],"aim":[89,248],"finding":[91],"whether":[92,150,251,322],"possible":[95],"predict":[97,149,321],"a":[101,111,168,219,257,323],"its":[104,173],"characteristics.":[105,174],"Design/methodology/approach":[106],"present":[108,352],"work":[109],"uses":[110],"set":[112],"documents":[115,153],"analyzes":[117],"how":[118],"characteristics":[120,273,290],"(e.g.":[121,296,334],"domain,":[123],"last":[124],"update,":[125],"type,":[126,299],"mention":[127],"places":[129],"treatment":[131],"prevention":[133],"strategies)":[134],"are":[135,146,181,192],"associated":[136],"quality.":[139,156,240],"these":[142],"features,":[143],"statistical":[144],"models":[145,191,243,265,318],"built":[147,193,245],"which":[148,179,234],"health-related":[151],"certification-level":[155],"Multivariate":[157],"analysis":[158],"performed,":[160],"classification":[162],"estimate":[164],"probability":[166],"having":[170],"given":[172],"This":[175,315,364],"approach":[176],"tells":[177],"us":[178],"predictors":[180],"important.":[182],"Three":[183],"types":[184],"full":[186],"reduced":[188,242],"logistic":[189],"regression":[190],"evaluated.":[195],"first":[197],"includes":[199],"every":[200],"feature,":[201],"without":[202,270],"any":[203],"exclusion,":[204],"second":[206],"disregards":[208],"Utilization":[210],"Review":[211],"Accreditation":[212],"Commission":[213],"variable,":[214],"due":[215],"being":[218],"indicator,":[221],"third":[224],"excludes":[226],"variables":[228],"related":[229],"principles,":[233],"might":[235],"also":[236],"be":[237,293,355],"were":[244],"see":[250],"they":[252],"reach":[253],"similar":[254],"results":[255],"smaller":[258],"number":[259],"features.":[261],"Findings":[262],"prediction":[264,287],"high":[267],"accuracy,":[268],"even":[269],"including":[271],"Health":[275],"Net":[278],"code":[279],"principles":[280],"models.":[283],"most":[285],"informative":[286],"model":[288],"considers":[289],"that":[291,319],"can":[292],"assessed":[294],"automatically":[295,320],"split":[297],"content,":[298],"process":[300],"revision":[302],"place":[304],"treatment).":[306],"It":[307],"an":[309],"accuracy":[310],"89":[312],"percent.":[313],"Originality/value":[314],"proposes":[317],"or":[327,337],"not.":[328],"Some":[329],"used":[332,356],"prevention,":[335],"prognosis":[336],"treatment)":[338],"not":[340],"yet":[341],"explicitly":[343],"considered":[344],"context.":[347],"findings":[349],"study":[353],"may":[354,371],"search":[358],"engines":[359],"promote":[361],"high-quality":[362],"documents.":[363],"will":[365],"improve":[366],"retrieval":[369],"contribute":[372],"reduce":[374],"problems":[376],"caused":[377],"inaccurate":[379]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
