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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Willingness to share personal health record data for care improvement and public health: a survey of experienced personal health record users
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2012
|
| DOI | 10.1186/1472-6947-12-39 |
| Pubmed ID | |
| Authors |
Elissa R Weitzman, Skyler Kelemen, Liljana Kaci, Kenneth D Mandl |
| Abstract |
Data stored in personally controlled health records (PCHRs) may hold value for clinicians and public health entities, if patients and their families will share them. We sought to characterize consumer willingness and unwillingness (reticence) to share PCHR data across health topics, and with different stakeholders, to advance understanding of this issue. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| India | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 2 | 1% |
| Canada | 2 | 1% |
| Vietnam | 1 | <1% |
| Switzerland | 1 | <1% |
| Malaysia | 1 | <1% |
| Unknown | 180 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 19% |
| Student > Ph. D. Student | 33 | 17% |
| Researcher | 25 | 13% |
| Student > Bachelor | 21 | 11% |
| Other | 8 | 4% |
| Other | 34 | 18% |
| Unknown | 33 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 21% |
| Computer Science | 27 | 14% |
| Social Sciences | 23 | 12% |
| Business, Management and Accounting | 20 | 11% |
| Nursing and Health Professions | 14 | 7% |
| Other | 27 | 14% |
| Unknown | 40 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 10 April 2021.
All research outputs
#3,884,304
of 22,687,320 outputs
Outputs from BMC Medical Informatics and Decision Making
#331
of 1,979 outputs
Outputs of similar age
#26,963
of 164,266 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 38 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 83% 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 164,266 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.