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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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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.

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Colombia 1 2%
Germany 1 2%
Portugal 1 2%
Indonesia 1 2%
Netherlands 1 2%
Belgium 1 2%
United States 1 2%
Unknown 38 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 34%
Researcher 11 23%
Other 6 13%
Student > Bachelor 4 9%
Professor > Associate Professor 2 4%
Other 4 9%
Unknown 4 9%
Readers by discipline Count As %
Medicine and Dentistry 21 45%
Computer Science 3 6%
Business, Management and Accounting 2 4%
Psychology 2 4%
Social Sciences 2 4%
Other 6 13%
Unknown 11 23%
Attention Score in Context

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
#15,274,954
of 22,715,151 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,307
of 1,982 outputs
Outputs of similar age
#58,333
of 66,235 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 9 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 66,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.