Ontology type: schema:ScholarlyArticle
http://scigraph.springernature.com/pub.10.1038/s41571-018-0097-9
DOIhttp://dx.doi.org/10.1038/s41571-018-0097-9
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1107123761
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30242217
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": "Royal Marsden NHS Foundation Trust",
"id": "https://www.grid.ac/institutes/grid.5072.0",
"name": [
"Royal Marsden Hospital NHS Foundation Trust, London, UK."
],
"type": "Organization"
},
"familyName": "Murali",
"givenName": "Krithika",
"id": "sg:person.013266325776.35",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013266325776.35"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Cancer Research",
"id": "https://www.grid.ac/institutes/grid.18886.3f",
"name": [
"Royal Marsden Hospital NHS Foundation Trust, London, UK. susana.banerjee@rmh.nhs.uk.",
"The Institute of Cancer Research, London, UK. susana.banerjee@rmh.nhs.uk."
],
"type": "Organization"
},
"familyName": "Banerjee",
"givenName": "Susana",
"id": "sg:person.01326353035.21",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326353035.21"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/s0140-6736(16)31279-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010011052"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/acm.0000000000000641",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024961621"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/acm.0000000000000641",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024961621"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/annonc/mdx196",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085275317"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ctrv.2018.05.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104009439"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1200/edbk_201023",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104354418"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1200/edbk_201023",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104354418"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/jamadermatol.2018.2714",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1106325650"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-01",
"datePublishedReg": "2019-01-01",
"genre": "research_article",
"id": "sg:pub.10.1038/s41571-018-0097-9",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1034153",
"issn": [
"1759-4774",
"1759-4782"
],
"name": "Nature Reviews Clinical Oncology",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "16"
}
],
"name": "Let\u2019s address burnout in oncologists and reimagine the way we work",
"pagination": "1",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"1b112f127ed6c53fc58089b35cceecb5060175471fb70895695fd8547665f68a"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30242217"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101500077"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41571-018-0097-9"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1107123761"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41571-018-0097-9",
"https://app.dimensions.ai/details/publication/pub.1107123761"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T09:11",
"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/v90/0000000338_0000000338/records_47975_00000002.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41571-018-0097-9"
}
]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/s41571-018-0097-9'
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/s41571-018-0097-9'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41571-018-0097-9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41571-018-0097-9'
This table displays all metadata directly associated to this object as RDF triples.
89 TRIPLES
19 PREDICATES
32 URIs
20 LITERALS
9 BLANK NODES