Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSAmar Dhand, Douglas Luke, Catherine Lang, Michael Tsiaklides, Steven Feske, Jin-Moo Lee
ABSTRACTArriving rapidly to the hospital after a heart attack or stroke is critical for patients to be within time windows for treatment. Prior research in heart attacks has suggested a paradoxical role of the social environment: those who arrive early are surrounded by nonrelatives, while those who arrive late are surrounded by spouses or family members. Here, we used network methods to more deeply examine the influence of social context in stroke. We examined the relationship of personal social networks and arrival time in 175 stroke patients. Our results confirmed the paradox by showing that small and close-knit personal networks of highly familiar contacts, independent of demographic, clinical, and socioeconomic factors, were related to delay. The closed network structure led to constricted information flow in which patients and close confidants, absent outside perspectives, elected to watch-and-wait. Targeting patients with small, close-knit networks may be one strategy to improve response times. More... »
PAGES1206
http://scigraph.springernature.com/pub.10.1038/s41467-019-09073-5
DOIhttp://dx.doi.org/10.1038/s41467-019-09073-5
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1112764300
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30872570
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",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1102",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Cardiorespiratory Medicine and Haematology",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cross-Sectional Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Decision Making",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Emergencies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Middle Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Risk Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Social Networking",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Socioeconomic Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Stroke",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Time Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Time-to-Treatment",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Northeastern University",
"id": "https://www.grid.ac/institutes/grid.261112.7",
"name": [
"Department of Neurology, Brigham and Women\u2019s Hospital, Harvard Medical School, 02115, Boston, MA, USA",
"Network Science Institute, Northeastern University, 02115, Boston, MA, USA"
],
"type": "Organization"
},
"familyName": "Dhand",
"givenName": "Amar",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Washington University in St. Louis",
"id": "https://www.grid.ac/institutes/grid.4367.6",
"name": [
"Center for Public Health Systems Science, Washington University in St. Louis, 63130, St. Louis, MO, USA"
],
"type": "Organization"
},
"familyName": "Luke",
"givenName": "Douglas",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Washington University in St. Louis",
"id": "https://www.grid.ac/institutes/grid.4367.6",
"name": [
"Program in Physical Therapy, Washington University School of Medicine, 63108, St. Louis, MO, USA"
],
"type": "Organization"
},
"familyName": "Lang",
"givenName": "Catherine",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Washington University in St. Louis",
"id": "https://www.grid.ac/institutes/grid.4367.6",
"name": [
"Department of Neurology, Washington University School of Medicine, 63110, St. Louis, MO, USA"
],
"type": "Organization"
},
"familyName": "Tsiaklides",
"givenName": "Michael",
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Neurology, Brigham and Women\u2019s Hospital, Harvard Medical School, 02115, Boston, MA, USA"
],
"type": "Organization"
},
"familyName": "Feske",
"givenName": "Steven",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Washington University in St. Louis",
"id": "https://www.grid.ac/institutes/grid.4367.6",
"name": [
"Department of Neurology, Washington University School of Medicine, 63110, St. Louis, MO, USA"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Jin-Moo",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1371/journal.pone.0036250",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002989057"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrneurol.2009.116",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004101435",
"https://doi.org/10.1038/nrneurol.2009.116"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrneurol.2009.116",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004101435",
"https://doi.org/10.1038/nrneurol.2009.116"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000328726",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009104939"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1468-1331.2010.03258.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010363547"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00234-011-0884-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012753096",
"https://doi.org/10.1007/s00234-011-0884-9"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.114.006520",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013505306"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.114.006520",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013505306"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.114.006520",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013505306"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev-soc-081309-150054",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016726920"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0277-9536(86)90093-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024460068"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/jaha.112.001685",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028214182"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.str.31.8.1925",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028937404"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jstrokecerebrovasdis.2006.11.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030380770"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejmsa066082",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032232146"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/1525822x13492676",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034712291"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/1525822x13492676",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034712291"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.socscimed.2011.12.033",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036340670"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.str.0000217200.61167.39",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038503472"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.str.0000217200.61167.39",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038503472"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0378-8733(84)90007-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039106279"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0378-8733(84)90007-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039106279"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrneurol.2016.119",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039477971",
"https://doi.org/10.1038/nrneurol.2016.119"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.socscimed.2013.12.033",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040866863"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/circulationaha.106.176040",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041170391"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.111.644963",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046840375"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.111.644963",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046840375"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/225469",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058544967"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/421787",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058712288"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/1519823",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069515452"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/270810",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070070486"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ncomms14753",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084895057",
"https://doi.org/10.1038/ncomms14753"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.117.018132",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092070175"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.117.018132",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092070175"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/s41467-018-06408-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1107129365",
"https://doi.org/10.1038/s41467-018-06408-6"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-12",
"datePublishedReg": "2019-12-01",
"description": "Arriving rapidly to the hospital after a heart attack or stroke is critical for patients to be within time windows for treatment. Prior research in heart attacks has suggested a paradoxical role of the social environment: those who arrive early are surrounded by nonrelatives, while those who arrive late are surrounded by spouses or family members. Here, we used network methods to more deeply examine the influence of social context in stroke. We examined the relationship of personal social networks and arrival time in 175 stroke patients. Our results confirmed the paradox by showing that small and close-knit personal networks of highly familiar contacts, independent of demographic, clinical, and socioeconomic factors, were related to delay. The closed network structure led to constricted information flow in which patients and close confidants, absent outside perspectives, elected to watch-and-wait. Targeting patients with small, close-knit networks may be one strategy to improve response times.",
"genre": "research_article",
"id": "sg:pub.10.1038/s41467-019-09073-5",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.4728890",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.3536428",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.2439005",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1043282",
"issn": [
"2041-1723"
],
"name": "Nature Communications",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "10"
}
],
"name": "Social networks and risk of delayed hospital arrival after acute stroke",
"pagination": "1206",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"8cdbb846a11fdb190a339f1e973b174e0d41fcc10401e1db7758f15846bf82fe"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30872570"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101528555"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41467-019-09073-5"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1112764300"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41467-019-09073-5",
"https://app.dimensions.ai/details/publication/pub.1112764300"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T14:18",
"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/v90/0000000372_0000000372/records_117100_00000003.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41467-019-09073-5"
}
]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/s41467-019-09073-5'
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/s41467-019-09073-5'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09073-5'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09073-5'
This table displays all metadata directly associated to this object as RDF triples.
253 TRIPLES
21 PREDICATES
70 URIs
35 LITERALS
23 BLANK NODES