Ontology type: schema:ScholarlyArticle Open Access: True
2019-02
AUTHORSHyun Kyung Yang, Jeong Min Lee, Mi Hye Yu, Sang Min Lee, Jinyoung Park, Na Young Han, Kyoungbun Lee, Jin-Young Jang, Joon Koo Han
ABSTRACTThe original version of this article, published on 09 April 2018, unfortunately contained a mistake. The following correction has therefore been made in the original: The presentation of Fig. 2 was incorrect, "Cotton ball sign" was mistakenly named "Polka-dot sign".
PAGES1-1
http://scigraph.springernature.com/pub.10.1007/s00330-018-5548-2
DOIhttp://dx.doi.org/10.1007/s00330-018-5548-2
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1105308948
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29974218
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": "University of Toronto",
"id": "https://www.grid.ac/institutes/grid.17063.33",
"name": [
"Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Korea",
"The Joint Department of Medical Imaging, Mount Sinai Hospital-University Health Network-Women\u2019s College Hospital, University of Toronto, Toronto, ON, Canada"
],
"type": "Organization"
},
"familyName": "Yang",
"givenName": "Hyun Kyung",
"id": "sg:person.01076363462.06",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076363462.06"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University",
"id": "https://www.grid.ac/institutes/grid.31501.36",
"name": [
"Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Korea",
"Department of Radiology, Seoul National University College of Medicine, Seoul, Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Jeong Min",
"id": "sg:person.01266602714.81",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266602714.81"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Konkuk University",
"id": "https://www.grid.ac/institutes/grid.258676.8",
"name": [
"Department of Radiology, Konkuk University School of Medicine, Seoul, Korea"
],
"type": "Organization"
},
"familyName": "Yu",
"givenName": "Mi Hye",
"id": "sg:person.0647654606.75",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647654606.75"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Hallym University Sacred Heart Hospital",
"id": "https://www.grid.ac/institutes/grid.488421.3",
"name": [
"Department of Radiology, Hallym University Sacred Heart Hospital, Anyang, Gyeonggi-do, Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Sang Min",
"id": "sg:person.01315300754.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315300754.59"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Dongnam Institute of Radiological & Medical Sciences",
"id": "https://www.grid.ac/institutes/grid.464567.2",
"name": [
"Department of Radiology, Dongnam Institute of Radiological and Medical Sciences, Busan, Korea"
],
"type": "Organization"
},
"familyName": "Park",
"givenName": "Jinyoung",
"id": "sg:person.010371370032.02",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010371370032.02"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "National Cancer Center",
"id": "https://www.grid.ac/institutes/grid.410914.9",
"name": [
"Department of Pathology, National Cancer Center, Goyang, Gyeonggi-do, Korea"
],
"type": "Organization"
},
"familyName": "Han",
"givenName": "Na Young",
"id": "sg:person.011166750432.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011166750432.16"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University Hospital",
"id": "https://www.grid.ac/institutes/grid.412484.f",
"name": [
"Department of Pathology, Seoul National University Hospital, Seoul, Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Kyoungbun",
"id": "sg:person.01065650137.21",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065650137.21"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University Hospital",
"id": "https://www.grid.ac/institutes/grid.412484.f",
"name": [
"Department of Surgery, Seoul National University Hospital, Seoul, Korea"
],
"type": "Organization"
},
"familyName": "Jang",
"givenName": "Jin-Young",
"id": "sg:person.0617241524.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617241524.44"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University",
"id": "https://www.grid.ac/institutes/grid.31501.36",
"name": [
"Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Korea",
"Department of Radiology, Seoul National University College of Medicine, Seoul, Korea"
],
"type": "Organization"
},
"familyName": "Han",
"givenName": "Joon Koo",
"id": "sg:person.0647723014.95",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95"
],
"type": "Person"
}
],
"datePublished": "2019-02",
"datePublishedReg": "2019-02-01",
"description": "The original version of this article, published on 09 April 2018, unfortunately contained a mistake. The following correction has therefore been made in the original: The presentation of Fig.\u00a02 was incorrect, \"Cotton ball sign\" was mistakenly named \"Polka-dot sign\".",
"genre": "non_research_article",
"id": "sg:pub.10.1007/s00330-018-5548-2",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1289120",
"issn": [
"0938-7994",
"1432-1084"
],
"name": "European Radiology",
"type": "Periodical"
}
],
"name": "Correction to: CT diagnosis of gallbladder adenomyomatosis: importance of enhancing mucosal epithelium, the \u201ccotton ball sign\u201d",
"pagination": "1-1",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"c144779b8604f12d4f5b2a1b2945d86f61eb1024f6c323b8c658cd9ebe22e229"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"29974218"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9114774"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00330-018-5548-2"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1105308948"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00330-018-5548-2",
"https://app.dimensions.ai/details/publication/pub.1105308948"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T01:03",
"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/v90/0000000001_0000000264/records_8697_00000494.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/s00330-018-5548-2"
}
]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/s00330-018-5548-2'
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/s00330-018-5548-2'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5548-2'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5548-2'
This table displays all metadata directly associated to this object as RDF triples.
132 TRIPLES
19 PREDICATES
25 URIs
19 LITERALS
7 BLANK NODES