| Title |
Effect on VA Patient Satisfaction of Provider’s Use of an Integrated Viewer of Multiple Electronic Health Records
|
|---|---|
| Published in |
Journal of General Internal Medicine, October 2018
|
| DOI | 10.1007/s11606-018-4708-z |
| Pubmed ID | |
| Authors |
Aaron Legler, Megan Price, Megha Parikh, Jonathan R. Nebeker, Merry C. Ward, Linda Wedemeyer, Steven D. Pizer |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 9% |
| Student > Master | 9 | 8% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 7 | 7% |
| Researcher | 5 | 5% |
| Other | 20 | 19% |
| Unknown | 48 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 14 | 13% |
| Medicine and Dentistry | 12 | 11% |
| Social Sciences | 11 | 10% |
| Computer Science | 4 | 4% |
| Business, Management and Accounting | 3 | 3% |
| Other | 13 | 12% |
| Unknown | 49 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 04 November 2018.
All research outputs
#1,303,507
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#1,062
of 7,806 outputs
Outputs of similar age
#29,339
of 352,364 outputs
Outputs of similar age from Journal of General Internal Medicine
#13
of 108 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 94th percentile: it's in the top 10% 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 well, scoring higher than 86% 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 352,364 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 91% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.