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Pharmaceutical cost management in an ambulatory setting using a risk adjustment tool

Overview of attention for article published in BMC Health Services Research, October 2014
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Mentioned by

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2 tweeters

Citations

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11 Dimensions

Readers on

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46 Mendeley
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Title
Pharmaceutical cost management in an ambulatory setting using a risk adjustment tool
Published in
BMC Health Services Research, October 2014
DOI 10.1186/1472-6963-14-462
Pubmed ID
Authors

David Vivas-Consuelo, Ruth Usó-Talamantes, Natividad Guadalajara-Olmeda, José-Luis Trillo-Mata, Carla Sancho-Mestre, Laia Buigues-Pastor

Abstract

Pharmaceutical expenditure is undergoing very high growth, and accounts for 30% of overall healthcare expenditure in Spain. In this paper we present a prediction model for primary health care pharmaceutical expenditure based on Clinical Risk Groups (CRG), a system that classifies individuals into mutually exclusive categories and assigns each person to a severity level if s/he has a chronic health condition. This model may be used to draw up budgets and control health spending.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Master 9 20%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Student > Postgraduate 4 9%
Other 9 20%
Unknown 3 7%
Readers by discipline Count As %
Economics, Econometrics and Finance 9 20%
Medicine and Dentistry 9 20%
Pharmacology, Toxicology and Pharmaceutical Science 7 15%
Social Sciences 4 9%
Business, Management and Accounting 4 9%
Other 6 13%
Unknown 7 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 April 2016.
All research outputs
#13,647,452
of 17,780,770 outputs
Outputs from BMC Health Services Research
#4,972
of 6,024 outputs
Outputs of similar age
#203,893
of 314,397 outputs
Outputs of similar age from BMC Health Services Research
#423
of 502 outputs
Altmetric has tracked 17,780,770 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,024 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 15th percentile – i.e., 15% 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 314,397 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 502 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.