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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations
|
|---|---|
| Published in |
Translational Behavioral Medicine, September 2014
|
| DOI | 10.1007/s13142-014-0293-9 |
| Pubmed ID | |
| Authors |
Edwin D Boudreaux, Molly E Waring, Rashelle B Hayes, Rajani S Sadasivam, Sean Mullen, Sherry Pagoto |
| Abstract |
Mobile applications (apps) to improve health are proliferating, but before healthcare providers or organizations can recommend an app to the patients they serve, they need to be confident the app will be user-friendly and helpful for the target disease or behavior. This paper summarizes seven strategies for evaluating and selecting health-related apps: (1) Review the scientific literature, (2) Search app clearinghouse websites, (3) Search app stores, (4) Review app descriptions, user ratings, and reviews, (5) Conduct a social media query within professional and, if available, patient networks, (6) Pilot the apps, and (7) Elicit feedback from patients. The paper concludes with an illustrative case example. Because of the enormous range of quality among apps, strategies for evaluating them will be necessary for adoption to occur in a way that aligns with core values in healthcare, such as the Hippocratic principles of nonmaleficence and beneficence. |
X Demographics
The data shown below were collected from the profiles of 53 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 30% |
| United Kingdom | 7 | 13% |
| Ecuador | 3 | 6% |
| Ireland | 3 | 6% |
| Canada | 2 | 4% |
| Australia | 2 | 4% |
| Italy | 1 | 2% |
| France | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 16 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 57% |
| Scientists | 12 | 23% |
| Practitioners (doctors, other healthcare professionals) | 9 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 567 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Portugal | 1 | <1% |
| Turkey | 1 | <1% |
| Hungary | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| Finland | 1 | <1% |
| Unknown | 558 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 121 | 21% |
| Student > Ph. D. Student | 73 | 13% |
| Student > Bachelor | 63 | 11% |
| Researcher | 54 | 10% |
| Student > Doctoral Student | 33 | 6% |
| Other | 110 | 19% |
| Unknown | 113 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 111 | 20% |
| Computer Science | 83 | 15% |
| Nursing and Health Professions | 54 | 10% |
| Psychology | 40 | 7% |
| Social Sciences | 32 | 6% |
| Other | 111 | 20% |
| Unknown | 136 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 May 2022.
All research outputs
#868,184
of 25,051,161 outputs
Outputs from Translational Behavioral Medicine
#37
of 1,078 outputs
Outputs of similar age
#9,063
of 258,395 outputs
Outputs of similar age from Translational Behavioral Medicine
#2
of 23 outputs
Altmetric has tracked 25,051,161 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,078 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 258,395 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.