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The PsyCoLaus study: methodology and characteristics of the sample of a population-based survey on psychiatric disorders and their association with genetic and cardiovascular risk factors

Overview of attention for article published in BMC Psychiatry, March 2009
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Mentioned by

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1 tweeter

Citations

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121 Dimensions

Readers on

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61 Mendeley
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Title
The PsyCoLaus study: methodology and characteristics of the sample of a population-based survey on psychiatric disorders and their association with genetic and cardiovascular risk factors
Published in
BMC Psychiatry, March 2009
DOI 10.1186/1471-244x-9-9
Pubmed ID
Authors

Martin Preisig, Gérard Waeber, Peter Vollenweider, Pascal Bovet, Stéphane Rothen, Caroline Vandeleur, Patrice Guex, Lefkos Middleton, Dawn Waterworth, Vincent Mooser, Federica Tozzi, Pierandrea Muglia

Abstract

The Psychiatric arm of the population-based CoLaus study (PsyCoLaus) is designed to: 1) establish the prevalence of threshold and subthreshold psychiatric syndromes in the 35 to 66 year-old population of the city of Lausanne (Switzerland); 2) test the validity of postulated definitions for subthreshold mood and anxiety syndromes; 3) determine the associations between psychiatric disorders, personality traits and cardiovascular diseases (CVD), 4) identify genetic variants that can modify the risk for psychiatric disorders and determine whether genetic risk factors are shared between psychiatric disorders and CVD. This paper presents the method as well as sociodemographic and somatic characteristics of the sample.

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Germany 1 2%
France 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Ph. D. Student 11 18%
Student > Postgraduate 5 8%
Professor > Associate Professor 4 7%
Student > Bachelor 4 7%
Other 14 23%
Unknown 8 13%
Readers by discipline Count As %
Medicine and Dentistry 15 25%
Psychology 13 21%
Neuroscience 4 7%
Agricultural and Biological Sciences 4 7%
Environmental Science 3 5%
Other 10 16%
Unknown 12 20%

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 03 February 2015.
All research outputs
#3,004,565
of 6,373,837 outputs
Outputs from BMC Psychiatry
#1,288
of 1,845 outputs
Outputs of similar age
#101,791
of 194,574 outputs
Outputs of similar age from BMC Psychiatry
#58
of 77 outputs
Altmetric has tracked 6,373,837 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,845 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 23rd percentile – i.e., 23% 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 194,574 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 77 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.