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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying determinants of care for tailoring implementation in chronic diseases: an evaluation of different methods
|
|---|---|
| Published in |
Implementation Science, August 2014
|
| DOI | 10.1186/s13012-014-0102-3 |
| Pubmed ID | |
| Authors |
Jane Krause, Jan Van Lieshout, Rien Klomp, Elke Huntink, Eivind Aakhus, Signe Flottorp, Cornelia Jaeger, Jost Steinhaeuser, Maciek Godycki-Cwirko, Anna Kowalczyk, Shona Agarwal, Michel Wensing, Richard Baker |
| Abstract |
The tailoring of implementation interventions includes the identification of the determinants of, or barriers to, healthcare practice. Different methods for identifying determinants have been used in implementation projects, but which methods are most appropriate to use is unknown. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 21% |
| Netherlands | 1 | 7% |
| United States | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 8 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Practitioners (doctors, other healthcare professionals) | 2 | 14% |
| Scientists | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Colombia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 145 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 19% |
| Student > Ph. D. Student | 24 | 16% |
| Student > Master | 23 | 15% |
| Student > Doctoral Student | 13 | 9% |
| Student > Postgraduate | 11 | 7% |
| Other | 27 | 18% |
| Unknown | 22 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 47 | 32% |
| Nursing and Health Professions | 16 | 11% |
| Psychology | 16 | 11% |
| Social Sciences | 11 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 5% |
| Other | 21 | 14% |
| Unknown | 31 | 21% |
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 17 January 2023.
All research outputs
#4,672,390
of 25,311,095 outputs
Outputs from Implementation Science
#858
of 1,798 outputs
Outputs of similar age
#42,763
of 238,112 outputs
Outputs of similar age from Implementation Science
#13
of 39 outputs
Altmetric has tracked 25,311,095 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 1,798 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 52% 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 238,112 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 39 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 69% of its contemporaries.