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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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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.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Germany 1 1%
France 1 1%
Unknown 91 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 20%
Student > Ph. D. Student 14 15%
Student > Master 10 11%
Student > Bachelor 9 10%
Student > Postgraduate 7 7%
Other 18 19%
Unknown 17 18%
Readers by discipline Count As %
Medicine and Dentistry 24 26%
Psychology 16 17%
Neuroscience 8 9%
Agricultural and Biological Sciences 6 6%
Nursing and Health Professions 5 5%
Other 15 16%
Unknown 20 21%
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 03 February 2015.
All research outputs
#15,319,634
of 22,785,242 outputs
Outputs from BMC Psychiatry
#3,365
of 4,678 outputs
Outputs of similar age
#90,460
of 106,967 outputs
Outputs of similar age from BMC Psychiatry
#8
of 9 outputs
Altmetric has tracked 22,785,242 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 4,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 21st percentile – i.e., 21% 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 106,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% 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.