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X Demographics
Mendeley readers
Attention Score in Context
| Title |
What drives adoption of a computerised, multifaceted quality improvement intervention for cardiovascular disease management in primary healthcare settings? A mixed methods analysis using normalisation process theory
|
|---|---|
| Published in |
Implementation Science, November 2018
|
| DOI | 10.1186/s13012-018-0830-x |
| Pubmed ID | |
| Authors |
Bindu Patel, Tim Usherwood, Mark Harris, Anushka Patel, Kathryn Panaretto, Nicholas Zwar, David Peiris |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 22% |
| United Kingdom | 2 | 11% |
| China | 1 | 6% |
| Curaçao | 1 | 6% |
| Colombia | 1 | 6% |
| Ireland | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 50% |
| Practitioners (doctors, other healthcare professionals) | 5 | 28% |
| Scientists | 3 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 161 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 14% |
| Researcher | 16 | 10% |
| Student > Bachelor | 14 | 9% |
| Student > Doctoral Student | 13 | 8% |
| Student > Ph. D. Student | 12 | 7% |
| Other | 22 | 14% |
| Unknown | 61 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 16% |
| Nursing and Health Professions | 21 | 13% |
| Social Sciences | 11 | 7% |
| Business, Management and Accounting | 9 | 6% |
| Psychology | 9 | 6% |
| Other | 20 | 12% |
| Unknown | 66 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 22 November 2018.
All research outputs
#3,481,201
of 25,765,370 outputs
Outputs from Implementation Science
#701
of 1,821 outputs
Outputs of similar age
#67,074
of 357,530 outputs
Outputs of similar age from Implementation Science
#13
of 28 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,821 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 61% 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 357,530 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 81% of its contemporaries.
We're also able to compare this research output to 28 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 53% of its contemporaries.