| Title |
Home blood pressure data visualization for the management of hypertension: designing for patient and physician information needs
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2020
|
| DOI | 10.1186/s12911-020-01194-y |
| Pubmed ID | |
| Authors |
Richelle J. Koopman, Shannon M. Canfield, Jeffery L. Belden, Pete Wegier, Victoria A. Shaffer, K. D. Valentine, Akshay Jain, Linsey M. Steege, Sonal J. Patil, Mihail Popescu, Michael L. LeFevre |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 40% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 11% |
| Student > Ph. D. Student | 10 | 9% |
| Researcher | 6 | 5% |
| Student > Doctoral Student | 6 | 5% |
| Student > Bachelor | 6 | 5% |
| Other | 19 | 17% |
| Unknown | 51 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 17 | 15% |
| Medicine and Dentistry | 9 | 8% |
| Social Sciences | 5 | 5% |
| Psychology | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 16 | 15% |
| Unknown | 56 | 51% |
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 28 November 2020.
All research outputs
#7,280,974
of 23,230,825 outputs
Outputs from BMC Medical Informatics and Decision Making
#724
of 2,020 outputs
Outputs of similar age
#154,730
of 400,195 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#21
of 63 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,020 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 63% 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 400,195 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 63 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 66% of its contemporaries.