Cited by 14Mobile Health and mHealth ApplicationsHealth, Technology, Consumer BehaviorDigital Mental Health Interventions

Use of workplace health promotion apps: Analysis of employee log data

Billmann, Maren, Böhm, Markus, Krcmar, Helmut·2020·Health Policy and Technology

Integrity signals

Registry

Crossref · 10.1016/j.hlpt.2020.06.003

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

1 of the 40 references couldn’t be matched to a known paper.

Cited by

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Authors
Billmann, M., Böhm, M., & Krcmar, H.
Affiliations
Technical University of Munich (DE)
Corresponding author
Billmann, Maren
Venue
Health Policy and Technology
Publisher
Elsevier BV
Published
2020-09
Volume
9
Issue
3
Pages
285-293
ISSN
2211-8837 (ISSN-L)
OpenAlex
W3034156325
Cited by
14
References
40
Citations by year
2026: 2 · 2024: 5 · 2023: 3 · 2022: 3 · 2021: 1
FWCI
1.82
Type
journal article
Language
en
Open access
closed
Locations
  • Health Policy and Technology (publishedVersion)
  • mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
workplace health promotion, mobile health apps, app usage frequency, employee well-being, health screening, perceived innovativeness, IT professionals

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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.

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