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Mendeley readers
Attention Score in Context
| Title |
Are there valid proxy measures of clinical behaviour? a systematic review
|
|---|---|
| Published in |
Implementation Science, July 2009
|
| DOI | 10.1186/1748-5908-4-37 |
| Pubmed ID | |
| Authors |
Susan Hrisos, Martin P Eccles, Jill J Francis, Heather O Dickinson, Eileen FS Kaner, Fiona Beyer, Marie Johnston |
| Abstract |
Accurate measures of health professionals' clinical practice are critically important to guide health policy decisions, as well as for professional self-evaluation and for research-based investigation of clinical practice and process of care. It is often not feasible or ethical to measure behaviour through direct observation, and rigorous behavioural measures are difficult and costly to use. The aim of this review was to identify the current evidence relating to the relationships between proxy measures and direct measures of clinical behaviour. In particular, the accuracy of medical record review, clinician self-reported and patient-reported behaviour was assessed relative to directly observed behaviour. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| Ireland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| South Africa | 1 | <1% |
| Australia | 1 | <1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 117 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 15% |
| Student > Ph. D. Student | 15 | 12% |
| Student > Master | 12 | 10% |
| Student > Doctoral Student | 12 | 10% |
| Other | 11 | 9% |
| Other | 35 | 28% |
| Unknown | 20 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 33% |
| Psychology | 16 | 13% |
| Social Sciences | 13 | 11% |
| Nursing and Health Professions | 11 | 9% |
| Computer Science | 5 | 4% |
| Other | 16 | 13% |
| Unknown | 22 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 11 January 2021.
All research outputs
#2,552,467
of 22,710,079 outputs
Outputs from Implementation Science
#581
of 1,721 outputs
Outputs of similar age
#9,804
of 109,730 outputs
Outputs of similar age from Implementation Science
#3
of 13 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 66% 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 109,730 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 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.