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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The demonstration of a theory-based approach to the design of localized patient safety interventions
|
|---|---|
| Published in |
Implementation Science, October 2013
|
| DOI | 10.1186/1748-5908-8-123 |
| Pubmed ID | |
| Authors |
Natalie Taylor, Rebecca Lawton, Beverley Slater, Robbie Foy |
| Abstract |
There is evidence of unsafe care in healthcare systems globally. Interventions to implement recommended practice often have modest and variable effects. Ideally, selecting and adapting interventions according to local contexts should enhance effects. However, the means by which this can happen is seldom systematic, based on theory, or made transparent. This work aimed to demonstrate the applicability, feasibility, and acceptability of a theoretical domains framework implementation (TDFI) approach for co-designing patient safety interventions. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| United States | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Argentina | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 141 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 20% |
| Student > Master | 22 | 15% |
| Researcher | 18 | 13% |
| Student > Doctoral Student | 9 | 6% |
| Student > Bachelor | 7 | 5% |
| Other | 30 | 21% |
| Unknown | 29 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 22% |
| Nursing and Health Professions | 21 | 15% |
| Psychology | 19 | 13% |
| Social Sciences | 16 | 11% |
| Business, Management and Accounting | 4 | 3% |
| Other | 17 | 12% |
| Unknown | 36 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 12 June 2023.
All research outputs
#2,440,973
of 25,311,095 outputs
Outputs from Implementation Science
#496
of 1,798 outputs
Outputs of similar age
#21,582
of 218,795 outputs
Outputs of similar age from Implementation Science
#7
of 39 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 72% 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 218,795 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 90% 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 done well, scoring higher than 84% of its contemporaries.