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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimising the value of the evidence generated in implementation science: the use of ontologies to address the challenges
|
|---|---|
| Published in |
Implementation Science, November 2017
|
| DOI | 10.1186/s13012-017-0660-2 |
| Pubmed ID | |
| Authors |
Susan Michie, Marie Johnston |
X Demographics
The data shown below were collected from the profiles of 77 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 Kingdom | 21 | 27% |
| Australia | 9 | 12% |
| Canada | 7 | 9% |
| Ireland | 2 | 3% |
| United States | 2 | 3% |
| Curaçao | 2 | 3% |
| Denmark | 1 | 1% |
| Ukraine | 1 | 1% |
| Colombia | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 30 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 47% |
| Scientists | 32 | 42% |
| Practitioners (doctors, other healthcare professionals) | 8 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 20% |
| Researcher | 16 | 20% |
| Student > Master | 11 | 14% |
| Other | 7 | 9% |
| Professor | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 18 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 15% |
| Nursing and Health Professions | 12 | 15% |
| Social Sciences | 9 | 11% |
| Psychology | 8 | 10% |
| Engineering | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 27 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 14 January 2018.
All research outputs
#899,538
of 25,765,370 outputs
Outputs from Implementation Science
#104
of 1,821 outputs
Outputs of similar age
#18,047
of 337,195 outputs
Outputs of similar age from Implementation Science
#9
of 35 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% 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 done particularly well, scoring higher than 94% 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 337,195 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 94% of its contemporaries.
We're also able to compare this research output to 35 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 74% of its contemporaries.