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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A systematic review of the implementation and impact of asthma protocols
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2014
|
| DOI | 10.1186/1472-6947-14-82 |
| Pubmed ID | |
| Authors |
Judith W Dexheimer, Elizabeth M Borycki, Kou-Wei Chiu, Kevin B Johnson, Dominik Aronsky |
| Abstract |
Asthma is one of the most common childhood illnesses. Guideline-driven clinical care positively affects patient outcomes for care. There are several asthma guidelines and reminder methods for implementation to help integrate them into clinical workflow. Our goal is to determine the most prevalent method of guideline implementation; establish which methods significantly improved clinical care; and identify the factors most commonly associated with a successful and sustainable implementation. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 20% |
| India | 2 | 20% |
| Canada | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 1 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 88 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 14% |
| Student > Master | 11 | 12% |
| Student > Ph. D. Student | 8 | 9% |
| Other | 7 | 8% |
| Student > Doctoral Student | 7 | 8% |
| Other | 25 | 27% |
| Unknown | 20 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 36% |
| Nursing and Health Professions | 11 | 12% |
| Social Sciences | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
| Psychology | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 26 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 April 2015.
All research outputs
#5,529,297
of 22,763,032 outputs
Outputs from BMC Medical Informatics and Decision Making
#477
of 1,984 outputs
Outputs of similar age
#54,261
of 238,632 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 30 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 238,632 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 77% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.