{"id":"https://openalex.org/W6944957979","doi":"https://doi.org/10.21954/ou.ro.000146ff","title":"Identifying and Capturing the Semantic Aspects of Citations","display_name":"Identifying and Capturing the Semantic Aspects of Citations","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W6944957979","doi":"https://doi.org/10.21954/ou.ro.000146ff"},"language":"en","primary_location":{"id":"pmh:oai:oro.open.ac.uk:83711","doi":null,"is_oa":false,"landing_page_url":"https://oro.open.ac.uk/83711/7/DPride_Thesis_deposition_form_16_06_2020.docx","pdf_url":null,"source":{"id":"https://openalex.org/S4306401187","display_name":"Open Research Online (The Open University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204136569","host_organization_name":"The Open University","host_organization_lineage":["https://openalex.org/I204136569"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21954/ou.ro.000146ff","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030795576","display_name":"David Pride","orcid":"https://orcid.org/0000-0002-7162-7252","observed_orcids":["https://orcid.org/0000-0002-7162-7252"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pride, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5030795576"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/3309","display_name":"Library and Information Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/3309","display_name":"Library and Information Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13976","display_name":"Web visibility and informetrics","score":0.0026000000070780516,"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"}},{"id":"https://openalex.org/T13284","display_name":"Psychology Research and Bibliometrics","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/research-excellence-framework","display_name":"Research Excellence Framework","score":0.7049999833106995},{"id":"https://openalex.org/keywords/peer-review","display_name":"peer review","score":0.7129999995231628},{"id":"https://openalex.org/keywords/citation-metrics","display_name":"citation metrics","score":0.597000002861023},{"id":"https://openalex.org/keywords/h-index","display_name":"h-index","score":0.8519999980926514},{"id":"https://openalex.org/keywords/journal-impact-factor","display_name":"journal impact factor","score":0.9629999995231628},{"id":"https://openalex.org/keywords/citation-annotation","display_name":"citation annotation","score":0.5540000200271606}],"concepts":[{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.8967000246047974},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.7267000079154968},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6879000067710876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294000148773193},{"id":"https://openalex.org/C105345328","wikidata":"https://www.wikidata.org/wiki/Q206276","display_name":"Citation analysis","level":3,"score":0.4903999865055084},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46630001068115234},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C2777352838","wikidata":"https://www.wikidata.org/wiki/Q5419420","display_name":"Excellence","level":2,"score":0.42660000920295715},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4221000075340271},{"id":"https://openalex.org/C2776822937","wikidata":"https://www.wikidata.org/wiki/Q856335","display_name":"Bibliographic coupling","level":3,"score":0.3652999997138977},{"id":"https://openalex.org/C95831776","wikidata":"https://www.wikidata.org/wiki/Q16387","display_name":"Information science","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C61904560","wikidata":"https://www.wikidata.org/wiki/Q1148359","display_name":"Grey literature","level":3,"score":0.30160000920295715},{"id":"https://openalex.org/C138368954","wikidata":"https://www.wikidata.org/wiki/Q215028","display_name":"Peer review","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C2778058735","wikidata":"https://www.wikidata.org/wiki/Q4692253","display_name":"Aggregate data","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C127142870","wikidata":"https://www.wikidata.org/wiki/Q7838279","display_name":"Trend analysis","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.26820001006126404},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:oro.open.ac.uk:83711","doi":null,"is_oa":false,"landing_page_url":"https://oro.open.ac.uk/83711/7/DPride_Thesis_deposition_form_16_06_2020.docx","pdf_url":null,"source":{"id":"https://openalex.org/S4306401187","display_name":"Open Research Online (The Open University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204136569","host_organization_name":"The Open University","host_organization_lineage":["https://openalex.org/I204136569"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"doi:10.21954/ou.ro.000146ff","doi":"https://doi.org/10.21954/ou.ro.000146ff","is_oa":true,"landing_page_url":"https://doi.org/10.21954/ou.ro.000146ff","pdf_url":null,"source":{"id":"https://openalex.org/S4306401187","display_name":"Open Research Online (The Open University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204136569","host_organization_name":"The Open University","host_organization_lineage":["https://openalex.org/I204136569"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.21954/ou.ro.000146ff","doi":"https://doi.org/10.21954/ou.ro.000146ff","is_oa":true,"landing_page_url":"https://doi.org/10.21954/ou.ro.000146ff","pdf_url":null,"source":{"id":"https://openalex.org/S4306401187","display_name":"Open Research Online (The Open University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204136569","host_organization_name":"The Open University","host_organization_lineage":["https://openalex.org/I204136569"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2012470677","https://openalex.org/W2804711044","https://openalex.org/W2068407715","https://openalex.org/W134224908","https://openalex.org/W2512925182","https://openalex.org/W7135447291","https://openalex.org/W3212059198","https://openalex.org/W2957599721","https://openalex.org/W2251795376","https://openalex.org/W7139919961"],"abstract_inverted_index":{"This":[0,20,165,295],"dissertation":[1,71,428],"presents":[2,61,94,430],"new":[3,442,478],"work":[4,351],"in":[5,52,67,100,132,183,197,222,227,235,308,328,336,347,360,380,480],"understanding":[6,309],"the":[7,34,49,68,86,122,127,137,143,151,159,168,191,199,231,248,267,333,354,358,361,377,398,418,445,462,485],"nature":[8],"of":[9,36,57,75,97,124,129,187,217,278,316,344,357,364,392,420,447,465,487],"citations,":[10,467],"their":[11,44,208],"potential":[12],"different":[13,470],"purposes":[14],"and":[15,39,59,83,103,112,148,178,219,270,340,370,375,402,440,454,483],"how":[16],"they":[17],"are":[18,106,259,391,403],"used.":[19],"research":[21,113,133,223,317,479],"addresses":[22,376],"a":[23,313,342,431,441],"fundamental":[24],"question:":[25],"\u2018Should":[26],"all":[27,277,284],"citations":[28,38,58,285,288,339,448],"be":[29,474],"treated":[30],"equally?\u2019":[31],"It":[32,46,92,383],"explores":[33],"concept":[35],"influential":[37,338],"examines":[40,332],"key":[41,50,334,378],"features":[42,335,345],"for":[43,444],"identification.":[45],"then":[47,60,84,93,331,352,429],"investigates":[48],"challenges":[51,379],"capturing":[53],"these":[54,90,125,274,279,425],"semantic":[55],"aspects":[56],"solutions":[62],"that":[63,78,312,385,415],"overcome":[64],"current":[65,76,355],"limitations":[66,269],"domain.":[69,382],"The":[70,115,325,350,427],"provides":[72],"an":[73,95],"overview":[74,96],"bibliometrics":[77,102,149,218],"use":[79,128],"raw":[80],"citation":[81,104,130,204,220,365,438],"counts":[82],"details":[85],"problems":[87],"associated":[88,272],"with":[89,273],"methodologies.":[91,275],"two":[98,408],"areas":[99],"which":[101,198,289,472],"data":[105,131,157,205,221],"already":[107,214],"being":[108,260],"applied:":[109],"information":[110],"retrieval":[111],"evaluation.":[114],"first":[116,169,435],"study":[117,166,326],"(Chapter":[118],"3)":[119],"focuses":[120],"on":[121],"second":[123],"areas,":[126],"evaluation;":[134],"it":[135,322],"is":[136,213,304],"largest":[138,463],"investigation":[139],"to":[140,170,206,262,397,451,460,476],"date":[141],"into":[142],"correlation":[144],"between":[145,174],"peer":[146,180,200,209],"review":[147,181,201,210],"at":[150,410],"institutional":[152],"/":[153],"discipline":[154],"level,":[155],"using":[156,367,424,434],"from":[158,405],"UK\u2019s":[160],"Research":[161],"Excellence":[162],"Framework":[163],"(REF2014).":[164],"was":[167,318,323],"identify":[171],"strong":[172],"correlations":[173],"simple":[175],"citation-based":[176,244],"indicators":[177],"aggregate":[179],"results":[182,413],"approximately":[184],"one":[185,406],"third":[186],"domains":[188,196,409],"covered":[189],"by":[190,388],"REF2014":[192],"process,":[193],"notably":[194],"those":[195],"panels":[202],"used":[203,261,459,475],"inform":[207],"decisions.":[211],"There":[212,303],"wide-scale":[215],"usage":[216],"evaluation,":[224],"not":[225,297,310],"only":[226,298,311],"exercises":[228],"such":[229,246],"as":[230,247,437],"REF2014,":[232],"but":[233,300,320],"also":[234,301],"other":[236],"Performance":[237],"Related":[238],"Funding":[239],"Exercises":[240],"(PRFS)":[241],"globally.":[242],"Furthermore,":[243],"metrics,":[245,280],"h-index":[249],"(Hirsch":[250],"[2005])":[251],"or":[252,291,407],"Journal":[253],"Impact":[254],"Factor":[255],"(JIF)":[256],"(Garfield":[257],"[1983]),":[258],"measure":[263],"individual":[264],"academics,":[265],"despite":[266],"aforementioned":[268],"risks":[271],"Critically,":[276],"without":[281],"exception,":[282],"treat":[283],"equally,":[286],"even":[287],"refute":[290],"negate":[292],"previous":[293],"work.":[294],"seems":[296],"illogical,":[299],"limiting.":[302],"far":[305],"greater":[306],"opportunity":[307],"particular":[314],"piece":[315],"cited,":[319],"why":[321],"cited.":[324],"presented":[327],"Chapter":[329],"4":[330],"identifying":[337],"replicates":[341],"range":[343],"tested":[346],"prior":[348],"works.":[349],"evaluates":[353],"state":[356],"art":[359],"automatic":[362],"identification":[363],"purpose":[366,453],"machine":[368],"learning":[369],"natural":[371],"language":[372],"processing":[373],"techniques":[374],"this":[381,416,481],"demonstrates":[384],"datasets":[386],"compiled":[387],"earlier":[389],"works":[390],"limited":[393],"size,":[394],"largely":[395],"due":[396],"selected":[399],"annotation":[400],"methods,":[401],"drawn":[404],"most.":[411],"Experimental":[412],"show":[414],"affects":[417],"accuracy":[419],"classification":[421,488],"models":[422],"built":[423],"datasets.":[426],"novel":[432],"methodology,":[433],"authors":[436],"annotators,":[439],"platform":[443],"collection":[446],"annotated":[449,466],"according":[450],"both":[452],"influence.":[455],"These":[456],"tools":[457],"were":[458],"produce":[461],"dataset":[464],"covering":[468],"19":[469],"disciplines,":[471],"can":[473],"foster":[477],"domain":[482],"improve":[484],"performance":[486],"models.":[489]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-02T10:15:12.560889","created_date":"2025-10-10T00:00:00"}
