| Title |
Designing a Patient-Centered User Interface for Access Decisions about EHR Data: Implications from Patient Interviews
|
|---|---|
| Published in |
Journal of General Internal Medicine, December 2014
|
| DOI | 10.1007/s11606-014-3049-9 |
| Pubmed ID | |
| Authors |
Kelly Caine, Spencer Kohn, Carrie Lawrence, Rima Hanania, Eric M. Meslin, William M. Tierney |
| Abstract |
Electronic health records change the landscape of patient data sharing and privacy by increasing the amount of information collected and stored and the number of potential recipients. Patients desire granular control over who receives what information in their electronic health record (EHR), but there are no current patient interfaces that allow them to record their preferences for EHR access. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 1 | <1% |
| Unknown | 116 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 24% |
| Researcher | 16 | 13% |
| Student > Ph. D. Student | 12 | 10% |
| Student > Doctoral Student | 10 | 8% |
| Student > Bachelor | 7 | 6% |
| Other | 19 | 16% |
| Unknown | 26 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 18% |
| Medicine and Dentistry | 17 | 14% |
| Nursing and Health Professions | 15 | 13% |
| Social Sciences | 11 | 9% |
| Engineering | 7 | 6% |
| Other | 20 | 17% |
| Unknown | 28 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 01 January 2016.
All research outputs
#909,693
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#764
of 7,806 outputs
Outputs of similar age
#12,331
of 366,521 outputs
Outputs of similar age from Journal of General Internal Medicine
#17
of 118 outputs
Altmetric has tracked 23,911,072 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 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done particularly well, scoring higher than 90% 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 366,521 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 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.