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Linking community pharmacy dispensing data to prescribing data of general practitioners

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2006
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Mentioned by

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2 tweeters

Citations

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19 Dimensions

Readers on

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43 Mendeley
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Title
Linking community pharmacy dispensing data to prescribing data of general practitioners
Published in
BMC Medical Informatics and Decision Making, April 2006
DOI 10.1186/1472-6947-6-18
Pubmed ID
Authors

Stefan R Florentinus, Patrick C Souverein, Fabiënne AMG Griens, Peter P Groenewegen, Hubert GM Leufkens, Eibert R Heerdink

Abstract

Databases are frequently used for pharmacoepidemiological research. However, most of these databases consist either of prescribing, dispensing or administrative data and therefore lack insight in the interaction between the several health professionals around the patient.

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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Colombia 1 2%
Germany 1 2%
Portugal 1 2%
Indonesia 1 2%
Netherlands 1 2%
Belgium 1 2%
United States 1 2%
Unknown 34 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 37%
Researcher 11 26%
Other 6 14%
Student > Bachelor 4 9%
Professor > Associate Professor 2 5%
Other 3 7%
Unknown 1 2%
Readers by discipline Count As %
Medicine and Dentistry 21 49%
Computer Science 3 7%
Business, Management and Accounting 2 5%
Psychology 2 5%
Social Sciences 2 5%
Other 5 12%
Unknown 8 19%

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 05 August 2013.
All research outputs
#2,308,972
of 4,509,980 outputs
Outputs from BMC Medical Informatics and Decision Making
#506
of 754 outputs
Outputs of similar age
#44,615
of 90,724 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#23
of 31 outputs
Altmetric has tracked 4,509,980 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 22nd percentile – i.e., 22% 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 90,724 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.