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Attention Score in Context
Title |
Pharmacoeconomics and its implication on priority-setting for essential medicines in Tanzania: a systematic review
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, September 2012
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DOI | 10.1186/1472-6947-12-110 |
Pubmed ID | |
Authors |
Amani Thomas Mori, Bjarne Robberstad |
Abstract |
Due to escalating treatment costs, pharmacoeconomic analysis has been assigned a key role in the quest for increased efficiency in resource allocation for drug therapies in high-income countries. The extent to which pharmacoeconomic analysis is employed in the same role in low-income countries is less well established. This systematic review identifies and briefly describes pharmacoeconomic studies which have been conducted in Tanzania and further assesses their influence in the selection of essential medicines. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 40% |
Tanzania, United Republic of | 1 | 20% |
United States | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 3 | 60% |
Members of the public | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Tanzania, United Republic of | 2 | 1% |
United Kingdom | 1 | <1% |
Macao | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 143 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 34 | 23% |
Researcher | 21 | 14% |
Student > Bachelor | 15 | 10% |
Student > Ph. D. Student | 11 | 7% |
Student > Postgraduate | 9 | 6% |
Other | 24 | 16% |
Unknown | 34 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 25% |
Pharmacology, Toxicology and Pharmaceutical Science | 15 | 10% |
Social Sciences | 15 | 10% |
Nursing and Health Professions | 13 | 9% |
Economics, Econometrics and Finance | 8 | 5% |
Other | 24 | 16% |
Unknown | 36 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 September 2013.
All research outputs
#12,668,177
of 22,679,690 outputs
Outputs from BMC Medical Informatics and Decision Making
#846
of 1,979 outputs
Outputs of similar age
#88,338
of 171,822 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#25
of 38 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 56% 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 171,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.