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Attention Score in Context
Title |
The roles and influence of actors in the uptake of evidence: the case of malaria treatment policy change in Uganda
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Published in |
Implementation Science, October 2014
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DOI | 10.1186/s13012-014-0150-8 |
Pubmed ID | |
Authors |
Juliet Nabyonga-Orem, Miriam Nanyunja, Bruno Marchal, Bart Criel, Freddie Ssengooba |
Abstract |
Uganda changed its malaria treatment policy in response to evidence of resistance to commonly used antimalarials. The use of evidence in policy development--also referred to as knowledge translation (KT)--is crucial, especially in resource-limited settings. However, KT processes occur amidst a complex web of stakeholder interactions. Stakeholder involvement in evidence generation and in KT activities is essential. In the present study, we explored how stakeholders impacted the uptake of evidence in the malaria treatment policy change in Uganda. |
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 States | 1 | 13% |
Uganda | 1 | 13% |
Thailand | 1 | 13% |
Australia | 1 | 13% |
Unknown | 4 | 50% |
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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Colombia | 1 | <1% |
Unknown | 111 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 26 | 23% |
Researcher | 19 | 17% |
Student > Ph. D. Student | 15 | 13% |
Student > Bachelor | 7 | 6% |
Student > Doctoral Student | 6 | 5% |
Other | 17 | 15% |
Unknown | 23 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 31 | 27% |
Nursing and Health Professions | 21 | 19% |
Social Sciences | 13 | 12% |
Engineering | 8 | 7% |
Economics, Econometrics and Finance | 2 | 2% |
Other | 12 | 11% |
Unknown | 26 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 November 2014.
All research outputs
#6,224,374
of 22,765,347 outputs
Outputs from Implementation Science
#1,079
of 1,721 outputs
Outputs of similar age
#66,803
of 255,128 outputs
Outputs of similar age from Implementation Science
#25
of 56 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 255,128 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 56 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 55% of its contemporaries.