Ontology type: schema:ScholarlyArticle Open Access: True
http://scigraph.springernature.com/pub.10.1038/sj.bjc.6602580
DOIhttp://dx.doi.org/10.1038/sj.bjc.6602580
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1036129550
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/15870829
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"author": [
{
"affiliation": {
"alternateName": "International Agency For Research On Cancer",
"id": "https://www.grid.ac/institutes/grid.17703.32",
"name": [
"International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon cedex 08, France"
],
"type": "Organization"
},
"familyName": "Franceschi",
"givenName": "S",
"id": "sg:person.01074225776.01",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074225776.01"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "International Agency For Research On Cancer",
"id": "https://www.grid.ac/institutes/grid.17703.32",
"name": [
"International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon cedex 08, France"
],
"type": "Organization"
},
"familyName": "Mah\u00e9",
"givenName": "C",
"id": "sg:person.01032610454.50",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032610454.50"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/sj.bjc.6602049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000059285",
"https://doi.org/10.1038/sj.bjc.6602049"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6602049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000059285",
"https://doi.org/10.1038/sj.bjc.6602049"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/ijc.20076",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009660431"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/bjc.1995.347",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010276001",
"https://doi.org/10.1038/bjc.1995.347"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/bjc.1995.347",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010276001",
"https://doi.org/10.1038/bjc.1995.347"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jnci/dji014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011629186"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jnci/95.1.46",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013772271"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6602538",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014437545",
"https://doi.org/10.1038/sj.bjc.6602538"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6602538",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014437545",
"https://doi.org/10.1038/sj.bjc.6602538"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(03)14955-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017480758"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1586/14737167.4.1.61",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021523245"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/(sici)1096-9896(199909)189:1<12::aid-path431>3.0.co;2-f",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021762873"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6601726",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027833388",
"https://doi.org/10.1038/sj.bjc.6601726"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6601726",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027833388",
"https://doi.org/10.1038/sj.bjc.6601726"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0959-8049(00)00320-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028733054"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6602541",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043372178",
"https://doi.org/10.1038/sj.bjc.6602541"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.bjc.6602541",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043372178",
"https://doi.org/10.1038/sj.bjc.6602541"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(98)12490-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049129112"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0002-9378(99)70586-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053215504"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1074478259",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3310/hta3080",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074478259"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3310/hta3080",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074478259"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1074537283",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3310/hta3140",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074537283"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3310/hta3140",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074537283"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1082845291",
"type": "CreativeWork"
}
],
"datePublished": "2005-05",
"datePublishedReg": "2005-05-01",
"genre": "non_research_article",
"id": "sg:pub.10.1038/sj.bjc.6602580",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1017082",
"issn": [
"0007-0920",
"1532-1827"
],
"name": "British Journal of Cancer",
"type": "Periodical"
},
{
"issueNumber": "9",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "92"
}
],
"name": "Human papillomavirus testing in cervical cancer screening",
"pagination": "1591",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"ac1b594daf48c7e3f0c6de8178540662827ab8f474772bfaf7971fb6110b1d8a"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"15870829"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"0370635"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/sj.bjc.6602580"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1036129550"
]
}
],
"sameAs": [
"https://doi.org/10.1038/sj.bjc.6602580",
"https://app.dimensions.ai/details/publication/pub.1036129550"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T11:51",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000359_0000000359/records_29183_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/6602580"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6602580'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6602580'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6602580'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6602580'
This table displays all metadata directly associated to this object as RDF triples.
126 TRIPLES
19 PREDICATES
45 URIs
20 LITERALS
9 BLANK NODES