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X Demographics
Mendeley readers
Attention Score in Context
Title |
Methods for the guideline-based development of quality indicators--a systematic review
|
---|---|
Published in |
Implementation Science, March 2012
|
DOI | 10.1186/1748-5908-7-21 |
Pubmed ID | |
Authors |
Thomas Kötter, Eva Blozik, Martin Scherer |
Abstract |
Quality indicators (QIs) are used in many healthcare settings to measure, compare, and improve quality of care. For the efficient development of high-quality QIs, rigorous, approved, and evidence-based development methods are needed. Clinical practice guidelines are a suitable source to derive QIs from, but no gold standard for guideline-based QI development exists. This review aims to identify, describe, and compare methodological approaches to guideline-based QI development. |
X Demographics
The data shown below were collected from the profiles of 13 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 States | 3 | 23% |
United Kingdom | 3 | 23% |
Spain | 1 | 8% |
Australia | 1 | 8% |
Ecuador | 1 | 8% |
Unknown | 4 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 62% |
Practitioners (doctors, other healthcare professionals) | 3 | 23% |
Scientists | 1 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 1% |
Canada | 3 | 1% |
Peru | 2 | <1% |
United Kingdom | 1 | <1% |
Sweden | 1 | <1% |
Argentina | 1 | <1% |
Colombia | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Other | 0 | 0% |
Unknown | 206 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 49 | 22% |
Student > Master | 33 | 15% |
Student > Ph. D. Student | 29 | 13% |
Student > Doctoral Student | 18 | 8% |
Other | 13 | 6% |
Other | 48 | 22% |
Unknown | 30 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 105 | 48% |
Nursing and Health Professions | 20 | 9% |
Social Sciences | 12 | 5% |
Agricultural and Biological Sciences | 8 | 4% |
Computer Science | 7 | 3% |
Other | 24 | 11% |
Unknown | 44 | 20% |
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 April 2012.
All research outputs
#3,984,089
of 22,663,969 outputs
Outputs from Implementation Science
#807
of 1,716 outputs
Outputs of similar age
#26,582
of 160,638 outputs
Outputs of similar age from Implementation Science
#14
of 31 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,716 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 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 160,638 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 83% of its contemporaries.
We're also able to compare this research output to 31 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.