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Attention Score in Context
Title |
Recommendations for increasing the use of HIV/AIDS resource allocation models
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Published in |
BMC Public Health, November 2009
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DOI | 10.1186/1471-2458-9-s1-s8 |
Pubmed ID | |
Authors |
Arielle Lasry, Anke Richter, Frithjof Lutscher |
Abstract |
Resource allocation models have not had a substantial impact on HIV/AIDS resource allocation decisions in spite of the important, additional insights they may provide. In this paper, we highlight six difficulties often encountered in attempts to implement such models in policy settings; these are: model complexity, data requirements, multiple stakeholders, funding issues, and political and ethical considerations. We then make recommendations as to how each of these difficulties may be overcome. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 2% |
United States | 1 | 2% |
Unknown | 51 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 21% |
Researcher | 7 | 13% |
Student > Master | 5 | 9% |
Student > Postgraduate | 4 | 8% |
Student > Bachelor | 3 | 6% |
Other | 11 | 21% |
Unknown | 12 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 28% |
Social Sciences | 8 | 15% |
Business, Management and Accounting | 2 | 4% |
Agricultural and Biological Sciences | 2 | 4% |
Computer Science | 2 | 4% |
Other | 11 | 21% |
Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2013.
All research outputs
#7,897,330
of 25,271,884 outputs
Outputs from BMC Public Health
#8,462
of 16,915 outputs
Outputs of similar age
#49,770
of 179,900 outputs
Outputs of similar age from BMC Public Health
#27
of 67 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 16,915 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 48th percentile – i.e., 48% 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 179,900 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 71% of its contemporaries.
We're also able to compare this research output to 67 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 58% of its contemporaries.