| Title |
Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2019
|
| DOI | 10.1186/s12911-019-0849-1 |
| Pubmed ID | |
| Authors |
Brian E. Dixon, Ashley L. Schwartzkopf, Vivian M. Guerrero, Justine May, Nicholas S. Koufacos, Andrew M. Bean, Joan D. Penrod, Cathy C. Schubert, Kenneth S. Boockvar |
X Demographics
The data shown below were collected from the profiles of 4 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 | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Researcher | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 25 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 20% |
| Nursing and Health Professions | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Computer Science | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 27 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 August 2019.
All research outputs
#7,345,632
of 23,151,828 outputs
Outputs from BMC Medical Informatics and Decision Making
#741
of 2,016 outputs
Outputs of similar age
#131,047
of 348,559 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 44 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 62% 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 348,559 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.