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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using theories and frameworks to understand how to reduce low-value healthcare: a scoping review
|
|---|---|
| Published in |
Implementation Science, January 2022
|
| DOI | 10.1186/s13012-021-01177-1 |
| Pubmed ID | |
| Authors |
Gillian Parker, Nida Shahid, Tim Rappon, Monika Kastner, Karen Born, Whitney Berta |
X Demographics
The data shown below were collected from the profiles of 23 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 | 3 | 13% |
| United States | 2 | 9% |
| Canada | 2 | 9% |
| Australia | 2 | 9% |
| Uganda | 1 | 4% |
| Brazil | 1 | 4% |
| Belgium | 1 | 4% |
| Chile | 1 | 4% |
| Colombia | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 61% |
| Scientists | 6 | 26% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Researcher | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Professor | 2 | 4% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 24 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 19% |
| Nursing and Health Professions | 8 | 15% |
| Social Sciences | 5 | 9% |
| Computer Science | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 24 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 December 2022.
All research outputs
#1,906,507
of 25,822,778 outputs
Outputs from Implementation Science
#354
of 1,822 outputs
Outputs of similar age
#46,642
of 521,619 outputs
Outputs of similar age from Implementation Science
#10
of 22 outputs
Altmetric has tracked 25,822,778 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,822 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 well, scoring higher than 80% 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 521,619 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 91% of its contemporaries.
We're also able to compare this research output to 22 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 54% of its contemporaries.