Cited by 496Mobile Health and mHealth ApplicationsHealth, Technology, Consumer BehaviorMobile Learning in Education

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Can Mobile Health Technologies Transform Health Care?

Overview

Integrity signals

Registry

Crossref · 10.1001/jama.2013.281078

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

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.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Cited by

Sorted by citations

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Metadata

Authors
Steinhubl, S. R., Muse, E. D., & Topol, E. J.
Venue
JAMA
Published
2013-12-11
Volume
310
Issue
22
Pages
2395
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2056183152
Cited by
496
References
4
Citations by year
2026: 16 · 2025: 31 · 2024: 33 · 2023: 29 · 2022: 35 · 2021: 39 · 2020: 41 · 2019: 54 · 2018: 52 · 2017: 45 · 2016: 42 · 2015: 42 · 2014: 35 · 2013: 1
FWCI
72.45
Type
journal article
Language
en
Open access
closed
Locations
  • JAMA (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (8ul1tr000109-05, KL2TR000110)
  • National Center for Advancing Translational Sciences (UL1-TR000109, 8 UL1 TR000109)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords
mobile health, healthcare transformation, digital health
MeSH terms
Acute Disease, Adult, Chronic Disease, Community Participation, Delivery of Health Care, Humans, Physician-Patient Relations, Telemedicine, Disease Management

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.

What counts as a claim ›How we measure confidence ›How we check this ›

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