This HTML5 document contains 131 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
wdthttp://www.wikidata.org/prop/direct/
wdtnhttp://www.wikidata.org/prop/direct-normalized/
schemahttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
wikibasehttp://wikiba.se/ontology#
phttp://www.wikidata.org/prop/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n11http://dx.doi.org/10.1177/
n10http://rdf.ncbi.nlm.nih.gov/pubchem/reference/
xsdhhttp://www.w3.org/2001/XMLSchema#
wdshttp://www.wikidata.org/entity/statement/
wdhttp://www.wikidata.org/entity/

Statements

Subject Item
wd:Q51114922
rdf:type
wikibase:Item
schema:description
2008年学术文章 artykuł naukowy научна статия artikull shkencor bilimsel makale vedecký článok scienca artikolo vitenskapelig artikkel scientific article published on 18 March 2008 artigo científico научни чланак 2008年の論文 2008年學術文章 scientific article published on 18 March 2008 articol științific 2008年学术文章 บทความทางวิทยาศาสตร์ article scientific 2008年學術文章 мақолаи илмӣ article científic 2008年学术文章 teaduslik artikkel vetenskaplig artikel наукова стаття, опублікована в березні 2008 tudományos cikk tieteellinen artikkeli научная статья artikulong pang-agham 2008年学术文章 videnskabelig artikel artikel ilmiah מאמר מדעי مقالة علمية نشرت في 18 مارس 2008 wetenschappelijk artikel επιστημονικό άρθρο 2008 nî lūn-bûn artículo científico publicado en 2008 artigo científico 2008年學術文章 articolo scientifico 2008年學術文章 2008年学术文章 2008년 논문 wissenschaftlicher Artikel vědecký článek научни чланак vitskapeleg artikkel ১৮ মার্চ ২০০৮-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ bài báo khoa học scientific article published on 18 March 2008 artículu científicu artigo científico article scientifique 2008年學術文章 2008年学术文章 naučni članak სამეცნიერო სტატია
p:P577
wds:Q51114922-16027D83-86A1-40F8-AD4F-24A40D4F6B67
wdt:P577
2008-03-18T00:00:00Z
p:P2860
wds:Q51114922-99AFCBF6-C619-4BF3-9D45-D08EF55FF493 wds:Q51114922-AAFEF696-C3CF-4AAD-BEBB-BD34F8C27493 wds:Q51114922-AB48F907-09EF-42C2-AB21-3CBAA1DD43F7 wds:Q51114922-AC26B404-15FB-4769-92FD-DF2B33C69A1B wds:Q51114922-D9B71CAC-ADAF-40B1-9A49-8C5DFA074F52 wds:Q51114922-DE9979FB-CA95-4B4F-8B67-EE5D6B359BC3 wds:Q51114922-DEFBF82E-7C29-488D-BAC9-D4B1CF9EF1F0 wds:Q51114922-04FC9B2A-9E3C-4F11-B860-3B97C1032AF2 wds:Q51114922-26AA73DC-211C-4032-A233-FC14896DD872 wds:Q51114922-7EF5054B-2A44-4925-B8FC-44A07E1571C8 wds:Q51114922-825E8039-AE1A-4A8F-8FF5-5B0E7E3EB6E8 wds:Q51114922-883A45DA-BDE3-4A7F-94CB-F84D742978E4 wds:Q51114922-90B9594A-6F01-4DE5-B47B-80D7F84FD570 wds:Q51114922-5A83E894-AAFE-472D-8A36-3040AEB2EA37 wds:Q51114922-5DA83AB1-B9A7-460E-B7A3-20CA7985B081 wds:Q51114922-5F1F07E0-9121-43CD-878E-52823A3FE3D6 wds:Q51114922-66EAA876-417A-4BAF-8D95-99C57B6B32B7 wds:Q51114922-68E392AD-498A-4A50-9B53-9FAC4D6E0C7E
wdt:P2860
wd:Q41128560 wd:Q44089483 wd:Q50781533 wd:Q58044576 wd:Q36098793 wd:Q47241879 wd:Q40431059 wd:Q24798599 wd:Q48009001 wd:Q53676269 wd:Q37609385 wd:Q47268420 wd:Q29615116 wd:Q34309879 wd:Q33831252 wd:Q48480403 wd:Q34264278 wd:Q44084354
p:P2093
wds:Q51114922-9926CF3F-73D4-4D3F-B087-6F01B513EB0C wds:Q51114922-91D99805-8AD3-42A6-9472-D1926FBAB85D wds:Q51114922-1013400C-D24A-4303-961E-5B0E8305FA4B
wdt:P2093
María Sainz-Ezkerra Erika Miranda-Serrano Javier Mar
rdfs:label
Calculation of prevalence with Markov models: budget impact analysis of thrombolysis for stroke. Calculation of prevalence with Markov models: budget impact analysis of thrombolysis for stroke.
skos:prefLabel
Calculation of prevalence with Markov models: budget impact analysis of thrombolysis for stroke. Calculation of prevalence with Markov models: budget impact analysis of thrombolysis for stroke.
schema:name
Calculation of prevalence with Markov models: budget impact analysis of thrombolysis for stroke. Calculation of prevalence with Markov models: budget impact analysis of thrombolysis for stroke.
p:P1476
wds:Q51114922-DF2F103F-488A-4E02-BD5F-983AC57D4010
wdt:P1476
Calculation of prevalence with Markov models: budget impact analysis of thrombolysis for stroke.
p:P304
wds:Q51114922-E94F9EC2-D5FC-414F-8EC1-D38E9F47565B
wdt:P304
481-490
p:P31
wds:Q51114922-58B71B67-F07B-4C00-AA9E-1E0359F3DA03
wdt:P31
wd:Q13442814
p:P921
wds:Q51114922-3DDAE5A8-7942-4B3D-955C-AFFFE0AD2661
wdt:P921
wd:Q1931577
p:P698
wds:Q51114922-44EACB83-8469-45A7-AFA3-56E59C57AEB4
wdtn:P698
n10:18349439
wdt:P698
18349439
p:P1433
wds:Q51114922-296356C5-6968-404A-9C06-4D1DCF15C0A2
wdt:P1433
wd:Q6806321
p:P433
wds:Q51114922-3AB7D75A-E96B-4E4B-97D1-8504C0DC0F15
p:P478
wds:Q51114922-2DA0D5EF-AAC2-4948-AADB-41D022409A09
wdt:P433
4
wdt:P478
28
p:P356
wds:Q51114922-91FA6A7F-56CF-4FB6-A402-985BBA181303
wdtn:P356
n11:0272989X07312720
wdt:P356
10.1177/0272989X07312720
p:P8608
wds:Q51114922-8AB4FAAD-498F-466D-B96D-CD03A7FDB1CD
wdt:P8608
release_tylahx62mnbfflshkayahx5eqq