Cited by 20Mobile Health and mHealth ApplicationsSocial Media in Health EducationMobile Learning in Education

Efficacy of communication amongst staff members at plastic and reconstructive surgery section using smartphone and mobile Whats App

Open access
Jagannathan, Mukund·2013·Indian Journal of Plastic Surgery

Abstract

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Integrity signals

Registry

Crossref · 10.4103/0970-0358.121991

Cites

Statistics

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

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Cited by

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Authors
Jagannathan, M.
Affiliations
Lokmanya Tilak Municipal General Hospital and Lokmanya Tilak Municipal Medical College (IN)
Corresponding author
Jagannathan, Mukund
Venue
Indian Journal of Plastic Surgery
Published
2013-09
Volume
46
Issue
03
Pages
506-507
ISSN
  • 0970-0358 (ISSN-L)
  • 1998-376X
OpenAlex
W1480479370
Cited by
20
References
0
Citations by year
2023: 2 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 4 · 2018: 2 · 2017: 2 · 2016: 5 · 2014: 1
FWCI
3.60
Type
journal article
Language
en
Open access
Locations
  • Indian Journal of Plastic Surgery (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion, cc-by-nc-sa)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Health › Social Media in Health Education
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords
internal communication, WhatsApp, smartphone messaging, plastic surgery, hospital staff, communication effectiveness

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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.

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