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How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study

Overview of attention for article published in Annals of General Psychiatry, January 2015
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Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Citations

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4 Dimensions

Readers on

mendeley
41 Mendeley
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Title
How do GP practices and patient characteristics influence the prescription of antidepressants? A cross-sectional study
Published in
Annals of General Psychiatry, January 2015
DOI 10.1186/s12991-015-0041-7
Pubmed ID
Authors

Alain Mercier, Jacques Benichou, Isabelle Auger-Aubin, Jean-Pierre Lebeau, Estelle Houivet, Paul Van Royen, Lieve Peremans

Abstract

Under-prescription of antidepressants (ADs) among people meeting the criteria for major depressive episodes and excessive prescription in less symptomatic patients have been reported. The reasons influencing general practitioners' (GPs) prescription of ADs remain little explored. This study aimed at assessing the influence of GP and patient characteristics on AD prescription.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Doctoral Student 7 17%
Student > Ph. D. Student 6 15%
Other 6 15%
Student > Bachelor 3 7%
Other 6 15%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 14 34%
Psychology 6 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Nursing and Health Professions 3 7%
Social Sciences 2 5%
Other 4 10%
Unknown 9 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 February 2015.
All research outputs
#8,769,531
of 14,535,828 outputs
Outputs from Annals of General Psychiatry
#189
of 362 outputs
Outputs of similar age
#134,022
of 282,138 outputs
Outputs of similar age from Annals of General Psychiatry
#6
of 13 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 362 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 42nd percentile – i.e., 42% 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 282,138 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 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.