Cited by 16Social Media in Health EducationInnovations in Medical EducationDiversity and Career in Medicine

A National Survey of Pediatric Residents' Professionalism and Social Networking: Implications for Curriculum Development

Kesselheim, Jennifer C., Schwartz, Alan, Belmonte, Frank, Boland, Kimberly A., Poynter, Sue, Batra, Maneesh·2016·Academic Pediatrics

Integrity signals

Registry

Crossref · 10.1016/j.acap.2015.12.004

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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Recomputing p-values needs the paper’s full text.

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Authors
Kesselheim, J. C., Schwartz, A., Belmonte, F., Boland, K. A., Poynter, S., & Batra, M.
Affiliations
  • Dana-Farber/Boston Children's Cancer and Blood Disorders Center (US)
  • University of Illinois Chicago (US)
  • Advocate Children's Hospital (US)
  • University of Louisville (US)
  • Cincinnati Children's Hospital Medical Center (US)
  • University of Washington (US)
Corresponding author
Kesselheim, Jennifer C.
Venue
Academic Pediatrics
Publisher
Elsevier BV
Published
2016-03
Volume
16
Issue
2
Pages
110-114
ISSN
1876-2859 (ISSN-L)
OpenAlex
W2200480113
Cited by
16
References
28
Citations by year
2023: 2 · 2022: 1 · 2021: 4 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 2
FWCI
1.66
Type
journal article
Language
en
Open access
closed
Locations
  • Academic Pediatrics (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Health › Social Media in Health Education
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
  • Social Sciences › Gender Studies › Diversity and Career in Medicine
Keywords
social networking sites, medical professionalism, pediatric residents, physician training, curriculum development, professional conduct, social media use
MeSH terms
Professionalism, Adult, Cross-Sectional Studies, Curriculum, Education, Medical, Graduate, Female, Humans, Internship and Residency, Male, Pediatrics, Surveys and Questionnaires, Social Networking

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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