Ontology type: schema:ScholarlyArticle
2019-03
AUTHORSKevin Koo, Kevin Shee, E. Ann Gormley
ABSTRACTPURPOSE: To examine patterns of crowdsourcing on the social media platform Twitter among urologists. METHODS: Urologists' public Twitter accounts were reviewed for original posts seeking clinical advice or feedback, and associated reply posts, before and after the 140-character-limit expansion in 2017. Predictors of responses to crowdsourcing requests were determined using multivariable regression. When patient data were posted, we noted whether consent was documented. RESULTS: A total of 276 posts in 23 crowdsourcing requests prior to character-limit expansion were analyzed. Reasons for crowdsourcing included requesting solutions to a clinical dilemma (82 posts, 30%); advice seeking about a surgical plan (77 posts, 28%); surveying colleagues' experiences with a new product (64 posts, 23%); and soliciting feedback about a proposed course of action (53 posts, 19%). Recent completion of training (as a proxy for inexperience) did not appear to disproportionately motivate crowdsourcing; authors' median time in practice was 7 years, and authors practicing for ≤ 7 years initiated 57% of requests. 22 (96%) crowdsourcing requests received ≥ 1 reply. Of 15 requests about a specific patient, eight included imaging, but only one cited patient consent. A second analysis of 184 posts in 17 crowdsourcing requests initiated after character-limit expansion demonstrated significantly more authors replying per request (P = 0.01), but no change in the frequency of patient-specific crowdsourcing or citation of consent. CONCLUSIONS: Urologists are leveraging Twitter for crowdsourcing clinical guidance and experiential knowledge. Nearly all requests were answered, suggesting low barriers to entry for novice users. Even after character-limit expansion, dissemination of potentially identifiable patient data remains a concern. More... »
PAGES567-572
http://scigraph.springernature.com/pub.10.1007/s00345-018-2405-5
DOIhttp://dx.doi.org/10.1007/s00345-018-2405-5
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1105608579
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30014160
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/2008/1117",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Public Health and Health Services",
"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"
}
],
"author": [
{
"affiliation": {
"alternateName": "Dartmouth\u2013Hitchcock Medical Center",
"id": "https://www.grid.ac/institutes/grid.413480.a",
"name": [
"Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA",
"Section of Urology, Department of Surgery, Dartmouth-Hitchcock Medical Center, One Medical Center Drive, 03756, Lebanon, NH, USA"
],
"type": "Organization"
},
"familyName": "Koo",
"givenName": "Kevin",
"id": "sg:person.013240562471.94",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013240562471.94"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Dartmouth College",
"id": "https://www.grid.ac/institutes/grid.254880.3",
"name": [
"Geisel School of Medicine at Dartmouth, Hanover, NH, USA"
],
"type": "Organization"
},
"familyName": "Shee",
"givenName": "Kevin",
"id": "sg:person.0641770754.41",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641770754.41"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Dartmouth\u2013Hitchcock Medical Center",
"id": "https://www.grid.ac/institutes/grid.413480.a",
"name": [
"Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA"
],
"type": "Organization"
},
"familyName": "Gormley",
"givenName": "E. Ann",
"id": "sg:person.0607761233.74",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607761233.74"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.urpr.2014.09.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000000812"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.urpr.2014.09.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000000812"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/bju.12910",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004175276"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00345-015-1725-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005457371",
"https://doi.org/10.1007/s00345-015-1725-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jncimonographs/lgt026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006876626"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3109/0142159x.2014.993371",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014006294"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/bju.13159",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017814763"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmjopen-2013-002988",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018582780"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/ans.13393",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027292556"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.eururo.2014.06.046",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028210259"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/bju.12788",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031654280"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11845-015-1277-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035122275",
"https://doi.org/10.1007/s11845-015-1277-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.eururo.2014.01.034",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039376974"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/bju.12840",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042216071"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/bju.12586",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044754251"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/bju.12855",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046783595"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.eururo.2014.02.048",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051314919"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/spv.0b013e3182909872",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060345167"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/spv.0b013e3182909872",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060345167"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/spv.0b013e3182909872",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060345167"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/spv.0b013e3182909872",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060345167"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5489/cuaj.3014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1072920705"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1078872248",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1078992113",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/bju.13802",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083689375"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jamia/ocx055",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085329869"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jamia/ocx055",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085329869"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jamia/ocx055",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085329869"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jamia/ocx055",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085329869"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00345-018-2254-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101401366",
"https://doi.org/10.1007/s00345-018-2254-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00345-018-2254-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101401366",
"https://doi.org/10.1007/s00345-018-2254-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00345-018-2254-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101401366",
"https://doi.org/10.1007/s00345-018-2254-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00345-018-2254-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101401366",
"https://doi.org/10.1007/s00345-018-2254-2"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-03",
"datePublishedReg": "2019-03-01",
"description": "PURPOSE: To examine patterns of crowdsourcing on the social media platform Twitter among urologists.\nMETHODS: Urologists' public Twitter accounts were reviewed for original posts seeking clinical advice or feedback, and associated reply posts, before and after the 140-character-limit expansion in 2017. Predictors of responses to crowdsourcing requests were determined using multivariable regression. When patient data were posted, we noted whether consent was documented.\nRESULTS: A total of 276 posts in 23 crowdsourcing requests prior to character-limit expansion were analyzed. Reasons for crowdsourcing included requesting solutions to a clinical dilemma (82 posts, 30%); advice seeking about a surgical plan (77 posts, 28%); surveying colleagues' experiences with a new product (64 posts, 23%); and soliciting feedback about a proposed course of action (53 posts, 19%). Recent completion of training (as a proxy for inexperience) did not appear to disproportionately motivate crowdsourcing; authors' median time in practice was 7\u00a0years, and authors practicing for \u2264\u20097\u00a0years initiated 57% of requests. 22 (96%) crowdsourcing requests received \u2265\u20091 reply. Of 15 requests about a specific patient, eight included imaging, but only one cited patient consent. A second analysis of 184 posts in 17 crowdsourcing requests initiated after character-limit expansion demonstrated significantly more authors replying per request (P\u2009=\u20090.01), but no change in the frequency of patient-specific crowdsourcing or citation of consent.\nCONCLUSIONS: Urologists are leveraging Twitter for crowdsourcing clinical guidance and experiential knowledge. Nearly all requests were answered, suggesting low barriers to entry for novice users. Even after character-limit expansion, dissemination of potentially identifiable patient data remains a concern.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00345-018-2405-5",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1094127",
"issn": [
"0724-4983",
"1433-8726"
],
"name": "World Journal of Urology",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "37"
}
],
"name": "Following the crowd: patterns of crowdsourcing on Twitter among urologists",
"pagination": "567-572",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"a86107c0d8db29bdc4b1c0eb1a5d7e429c7feaff53feed7abf30a9dac0d4bab2"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30014160"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"8307716"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00345-018-2405-5"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1105608579"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00345-018-2405-5",
"https://app.dimensions.ai/details/publication/pub.1105608579"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:18",
"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/v90/0000000368_0000000368/records_78941_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs00345-018-2405-5"
}
]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.10.1007/s00345-018-2405-5'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00345-018-2405-5'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00345-018-2405-5'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00345-018-2405-5'
This table displays all metadata directly associated to this object as RDF triples.
157 TRIPLES
21 PREDICATES
52 URIs
21 LITERALS
9 BLANK NODES