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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lessons learned implementing and managing the DIVERT-CARE trial: practice recommendations for a community-based chronic disease self-management model
|
|---|---|
| Published in |
BMC Geriatrics, May 2021
|
| DOI | 10.1186/s12877-021-02248-0 |
| Pubmed ID | |
| Authors |
Darly Dash, Connie Schumacher, Aaron Jones, Andrew P. Costa |
X Demographics
The data shown below were collected from the profiles of 10 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 | 7 | 70% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 19% |
| Researcher | 3 | 14% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Professor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 19% |
| Nursing and Health Professions | 3 | 14% |
| Economics, Econometrics and Finance | 2 | 10% |
| Linguistics | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 43% |
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 19 July 2023.
All research outputs
#4,501,607
of 24,079,362 outputs
Outputs from BMC Geriatrics
#1,216
of 3,327 outputs
Outputs of similar age
#105,093
of 428,666 outputs
Outputs of similar age from BMC Geriatrics
#52
of 124 outputs
Altmetric has tracked 24,079,362 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,327 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 428,666 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 75% of its contemporaries.
We're also able to compare this research output to 124 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 58% of its contemporaries.