The effects of chronotype and social jetlag on medical students View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-22

AUTHORS

Hyun Ji Choi, Yeo Jin Lee, Ye Jin Yoo, Yong Won Cho, Hye-Jin Moon

ABSTRACT

The aim of our study is (1) to identify chronotypes and social jetlag of Korean medical students and (2) to investigate the effect of chronotypes and social jetlag on sleep, quality of life (QoL), and academic performance of medical students. The final sample consisted of 424 students of a single medical school, assessed by 8 questionnaires: demographic questionnaire, Morningness–Eveningness Questionnaire (MEQ), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), Short Form (SF)-8 health survey, Warwick–Edinburgh Mental Well-Being Scale (WEMWBS), and Beck Depression Index (BDI)-2. Eight (1.9%) were “morning type (MT)”, 247 (58.3%) were “intermediate type (IT)”, and 169 (39.9%) were “evening-type (ET)”. The social jetlag of the ET group was longest (1.75 h) compared to the other groups. In the ET group, social jetlag of medical course (MC, 4 years) was significantly longer than in pre-med course (PM, 2 years). Curriculum changes from PM to MC and chronotypes show interactions in bedtime during weekend and subjective sleep quality/sleep latency subscore of PSQI. In the MT + IT group, compared with pre-med students, the top 25% of academic performance in medical school students significantly increased (19.7% vs. 30.2%), while the ET group did not show such a difference. The chronotype was related to social jetlag, sleep quality, daytime sleepiness, and academic performance of medical students. ET students are more vulnerable to lower sleep quality to curriculum change from PM to MC. More... »

PAGES

1-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s41105-018-00198-6

DOI

http://dx.doi.org/10.1007/s41105-018-00198-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112941464


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": "Keimyung University", 
          "id": "https://www.grid.ac/institutes/grid.412091.f", 
          "name": [
            "Keimyung University School of Medicine, Daegu, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Hyun Ji", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keimyung University", 
          "id": "https://www.grid.ac/institutes/grid.412091.f", 
          "name": [
            "Keimyung University School of Medicine, Daegu, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Yeo Jin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keimyung University", 
          "id": "https://www.grid.ac/institutes/grid.412091.f", 
          "name": [
            "Keimyung University School of Medicine, Daegu, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoo", 
        "givenName": "Ye Jin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keimyung University Dongsan Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.414067.0", 
          "name": [
            "Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cho", 
        "givenName": "Yong Won", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Soonchunhyang University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412678.e", 
          "name": [
            "Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea", 
            "Department of Neurology, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Wonmi-gu, 14584, Bucheon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moon", 
        "givenName": "Hye-Jin", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3109/07420528.2013.879164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001390875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/07420528.2012.719971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002245523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3988/jcn.2014.10.3.210", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003261172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14401/kasmed.2013.20.2.82", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003691666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1389-9457(00)00065-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005731782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/07420528.2016.1167711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006355781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-12-396971-2.00011-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012514565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07420520500545979", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013000701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.slsci.2014.09.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019283549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/07420528.2015.1085062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022727206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.lindif.2014.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024854160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0748730414550199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026917014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0748730414550199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026917014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10826080903498952", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027269816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/07420528.2013.867864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028031276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1111/j.1479-8425.2011.00511.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032013673", 
          "https://doi.org/10.1111/j.1479-8425.2011.00511.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1111/j.1479-8425.2011.00511.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032013673", 
          "https://doi.org/10.1111/j.1479-8425.2011.00511.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11325-011-0579-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033150331", 
          "https://doi.org/10.1007/s11325-011-0579-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11325-010-0343-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035616331", 
          "https://doi.org/10.1007/s11325-010-0343-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07420528.2016.1217230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039741880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/07420528.2010.487624", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045654327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-1781(89)90047-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047201961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1477-7525-5-63", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047486020", 
          "https://doi.org/10.1186/1477-7525-5-63"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5664/jcsm.4370", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073064783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074412678", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/sleep/14.6.540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077514016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/isbn.978-3-8055-9121-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098902732"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-22", 
    "datePublishedReg": "2019-03-22", 
    "description": "The aim of our study is (1) to identify chronotypes and social jetlag of Korean medical students and (2) to investigate the effect of chronotypes and social jetlag on sleep, quality of life (QoL), and academic performance of medical students. The final sample consisted of 424 students of a single medical school, assessed by 8 questionnaires: demographic questionnaire, Morningness\u2013Eveningness Questionnaire (MEQ), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), Short Form (SF)-8 health survey, Warwick\u2013Edinburgh Mental Well-Being Scale (WEMWBS), and Beck Depression Index (BDI)-2. Eight (1.9%) were \u201cmorning type (MT)\u201d, 247 (58.3%) were \u201cintermediate type (IT)\u201d, and 169 (39.9%) were \u201cevening-type (ET)\u201d. The social jetlag of the ET group was longest (1.75 h) compared to the other groups. In the ET group, social jetlag of medical course (MC, 4 years) was significantly longer than in pre-med course (PM, 2 years). Curriculum changes from PM to MC and chronotypes show interactions in bedtime during weekend and subjective sleep quality/sleep latency subscore of PSQI. In the MT + IT group, compared with pre-med students, the top 25% of academic performance in medical school students significantly increased (19.7% vs. 30.2%), while the ET group did not show such a difference. The chronotype was related to social jetlag, sleep quality, daytime sleepiness, and academic performance of medical students. ET students are more vulnerable to lower sleep quality to curriculum change from PM to MC.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s41105-018-00198-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1033171", 
        "issn": [
          "1446-9235", 
          "1479-8425"
        ], 
        "name": "Sleep and Biological Rhythms", 
        "type": "Periodical"
      }
    ], 
    "name": "The effects of chronotype and social jetlag on medical students", 
    "pagination": "1-8", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "032719e2b4dd24b8b3e31be12f62f38098a644afba50cfa2e8fd34db16cd88a1"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s41105-018-00198-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112941464"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s41105-018-00198-6", 
      "https://app.dimensions.ai/details/publication/pub.1112941464"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:55", 
    "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/v90/0000000364_0000000364/records_72868_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs41105-018-00198-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/s41105-018-00198-6'

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/s41105-018-00198-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s41105-018-00198-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s41105-018-00198-6'


 

This table displays all metadata directly associated to this object as RDF triples.

163 TRIPLES      21 PREDICATES      49 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s41105-018-00198-6 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N79335c2c19aa4d23bec6de5d82f035fc
4 schema:citation sg:pub.10.1007/s11325-010-0343-6
5 sg:pub.10.1007/s11325-011-0579-9
6 sg:pub.10.1111/j.1479-8425.2011.00511.x
7 sg:pub.10.1186/1477-7525-5-63
8 https://app.dimensions.ai/details/publication/pub.1074412678
9 https://doi.org/10.1016/0165-1781(89)90047-4
10 https://doi.org/10.1016/b978-0-12-396971-2.00011-7
11 https://doi.org/10.1016/j.lindif.2014.02.003
12 https://doi.org/10.1016/j.slsci.2014.09.004
13 https://doi.org/10.1016/s1389-9457(00)00065-4
14 https://doi.org/10.1080/07420520500545979
15 https://doi.org/10.1080/07420528.2016.1217230
16 https://doi.org/10.1093/sleep/14.6.540
17 https://doi.org/10.1159/isbn.978-3-8055-9121-8
18 https://doi.org/10.1177/0748730414550199
19 https://doi.org/10.14401/kasmed.2013.20.2.82
20 https://doi.org/10.3109/07420528.2010.487624
21 https://doi.org/10.3109/07420528.2012.719971
22 https://doi.org/10.3109/07420528.2013.867864
23 https://doi.org/10.3109/07420528.2013.879164
24 https://doi.org/10.3109/07420528.2015.1085062
25 https://doi.org/10.3109/07420528.2016.1167711
26 https://doi.org/10.3109/10826080903498952
27 https://doi.org/10.3988/jcn.2014.10.3.210
28 https://doi.org/10.5664/jcsm.4370
29 schema:datePublished 2019-03-22
30 schema:datePublishedReg 2019-03-22
31 schema:description The aim of our study is (1) to identify chronotypes and social jetlag of Korean medical students and (2) to investigate the effect of chronotypes and social jetlag on sleep, quality of life (QoL), and academic performance of medical students. The final sample consisted of 424 students of a single medical school, assessed by 8 questionnaires: demographic questionnaire, Morningness–Eveningness Questionnaire (MEQ), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), Short Form (SF)-8 health survey, Warwick–Edinburgh Mental Well-Being Scale (WEMWBS), and Beck Depression Index (BDI)-2. Eight (1.9%) were “morning type (MT)”, 247 (58.3%) were “intermediate type (IT)”, and 169 (39.9%) were “evening-type (ET)”. The social jetlag of the ET group was longest (1.75 h) compared to the other groups. In the ET group, social jetlag of medical course (MC, 4 years) was significantly longer than in pre-med course (PM, 2 years). Curriculum changes from PM to MC and chronotypes show interactions in bedtime during weekend and subjective sleep quality/sleep latency subscore of PSQI. In the MT + IT group, compared with pre-med students, the top 25% of academic performance in medical school students significantly increased (19.7% vs. 30.2%), while the ET group did not show such a difference. The chronotype was related to social jetlag, sleep quality, daytime sleepiness, and academic performance of medical students. ET students are more vulnerable to lower sleep quality to curriculum change from PM to MC.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf sg:journal.1033171
36 schema:name The effects of chronotype and social jetlag on medical students
37 schema:pagination 1-8
38 schema:productId N22a33e3201ca4b7983188cadba1c3be2
39 Nc5790c9440de48a1ae79c2bc05a39a8e
40 Nd1d4008d64f84acfbc6840e44ba78b1b
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112941464
42 https://doi.org/10.1007/s41105-018-00198-6
43 schema:sdDatePublished 2019-04-11T12:55
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher Nd45d49b89ed540b4a7660cbef51da0dd
46 schema:url https://link.springer.com/10.1007%2Fs41105-018-00198-6
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N0fbb0288aeb34e9486172721b66b145f schema:affiliation https://www.grid.ac/institutes/grid.414067.0
51 schema:familyName Cho
52 schema:givenName Yong Won
53 rdf:type schema:Person
54 N1612aeaa1247464399a70c2f7cfa42ed rdf:first N1c44e1af557e489d8461c68c14f04f36
55 rdf:rest Na2fdb5f3369c41e5b3e623d4778f4d26
56 N1c44e1af557e489d8461c68c14f04f36 schema:affiliation https://www.grid.ac/institutes/grid.412091.f
57 schema:familyName Lee
58 schema:givenName Yeo Jin
59 rdf:type schema:Person
60 N22a33e3201ca4b7983188cadba1c3be2 schema:name readcube_id
61 schema:value 032719e2b4dd24b8b3e31be12f62f38098a644afba50cfa2e8fd34db16cd88a1
62 rdf:type schema:PropertyValue
63 N56b23d1c49724a22a2aa2a595bd66fe8 rdf:first Na6924bd8887f41af95da327aea1f237c
64 rdf:rest rdf:nil
65 N79335c2c19aa4d23bec6de5d82f035fc rdf:first Ndee79d955b074f3099c7db916da98c3e
66 rdf:rest N1612aeaa1247464399a70c2f7cfa42ed
67 N81b574b276df4f76b1b441d23eb05752 schema:affiliation https://www.grid.ac/institutes/grid.412091.f
68 schema:familyName Yoo
69 schema:givenName Ye Jin
70 rdf:type schema:Person
71 Na2fdb5f3369c41e5b3e623d4778f4d26 rdf:first N81b574b276df4f76b1b441d23eb05752
72 rdf:rest Nb47bdcbe2c964008b6ca92e29203c8e9
73 Na6924bd8887f41af95da327aea1f237c schema:affiliation https://www.grid.ac/institutes/grid.412678.e
74 schema:familyName Moon
75 schema:givenName Hye-Jin
76 rdf:type schema:Person
77 Nb47bdcbe2c964008b6ca92e29203c8e9 rdf:first N0fbb0288aeb34e9486172721b66b145f
78 rdf:rest N56b23d1c49724a22a2aa2a595bd66fe8
79 Nc5790c9440de48a1ae79c2bc05a39a8e schema:name dimensions_id
80 schema:value pub.1112941464
81 rdf:type schema:PropertyValue
82 Nd1d4008d64f84acfbc6840e44ba78b1b schema:name doi
83 schema:value 10.1007/s41105-018-00198-6
84 rdf:type schema:PropertyValue
85 Nd45d49b89ed540b4a7660cbef51da0dd schema:name Springer Nature - SN SciGraph project
86 rdf:type schema:Organization
87 Ndee79d955b074f3099c7db916da98c3e schema:affiliation https://www.grid.ac/institutes/grid.412091.f
88 schema:familyName Choi
89 schema:givenName Hyun Ji
90 rdf:type schema:Person
91 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
92 schema:name Medical and Health Sciences
93 rdf:type schema:DefinedTerm
94 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
95 schema:name Public Health and Health Services
96 rdf:type schema:DefinedTerm
97 sg:journal.1033171 schema:issn 1446-9235
98 1479-8425
99 schema:name Sleep and Biological Rhythms
100 rdf:type schema:Periodical
101 sg:pub.10.1007/s11325-010-0343-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035616331
102 https://doi.org/10.1007/s11325-010-0343-6
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/s11325-011-0579-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033150331
105 https://doi.org/10.1007/s11325-011-0579-9
106 rdf:type schema:CreativeWork
107 sg:pub.10.1111/j.1479-8425.2011.00511.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032013673
108 https://doi.org/10.1111/j.1479-8425.2011.00511.x
109 rdf:type schema:CreativeWork
110 sg:pub.10.1186/1477-7525-5-63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047486020
111 https://doi.org/10.1186/1477-7525-5-63
112 rdf:type schema:CreativeWork
113 https://app.dimensions.ai/details/publication/pub.1074412678 schema:CreativeWork
114 https://doi.org/10.1016/0165-1781(89)90047-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047201961
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/b978-0-12-396971-2.00011-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012514565
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.lindif.2014.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024854160
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.slsci.2014.09.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019283549
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/s1389-9457(00)00065-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005731782
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1080/07420520500545979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013000701
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1080/07420528.2016.1217230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039741880
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1093/sleep/14.6.540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077514016
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1159/isbn.978-3-8055-9121-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098902732
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1177/0748730414550199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026917014
133 rdf:type schema:CreativeWork
134 https://doi.org/10.14401/kasmed.2013.20.2.82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003691666
135 rdf:type schema:CreativeWork
136 https://doi.org/10.3109/07420528.2010.487624 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045654327
137 rdf:type schema:CreativeWork
138 https://doi.org/10.3109/07420528.2012.719971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002245523
139 rdf:type schema:CreativeWork
140 https://doi.org/10.3109/07420528.2013.867864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028031276
141 rdf:type schema:CreativeWork
142 https://doi.org/10.3109/07420528.2013.879164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001390875
143 rdf:type schema:CreativeWork
144 https://doi.org/10.3109/07420528.2015.1085062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022727206
145 rdf:type schema:CreativeWork
146 https://doi.org/10.3109/07420528.2016.1167711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006355781
147 rdf:type schema:CreativeWork
148 https://doi.org/10.3109/10826080903498952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027269816
149 rdf:type schema:CreativeWork
150 https://doi.org/10.3988/jcn.2014.10.3.210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003261172
151 rdf:type schema:CreativeWork
152 https://doi.org/10.5664/jcsm.4370 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073064783
153 rdf:type schema:CreativeWork
154 https://www.grid.ac/institutes/grid.412091.f schema:alternateName Keimyung University
155 schema:name Keimyung University School of Medicine, Daegu, Republic of Korea
156 rdf:type schema:Organization
157 https://www.grid.ac/institutes/grid.412678.e schema:alternateName Soonchunhyang University Hospital
158 schema:name Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
159 Department of Neurology, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Wonmi-gu, 14584, Bucheon, Republic of Korea
160 rdf:type schema:Organization
161 https://www.grid.ac/institutes/grid.414067.0 schema:alternateName Keimyung University Dongsan Medical Center
162 schema:name Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
163 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...