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Factor structure and psychometric properties of the trier inventory for chronic stress (TICS) in a representative german sample

Overview of attention for article published in BMC Medical Research Methodology, April 2012
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Title
Factor structure and psychometric properties of the trier inventory for chronic stress (TICS) in a representative german sample
Published in
BMC Medical Research Methodology, April 2012
DOI 10.1186/1471-2288-12-42
Pubmed ID
Authors

Katja Petrowski, Sören Paul, Cornelia Albani, Elmar Brähler

Abstract

Chronic stress results from an imbalance of personal traits, resources and the demands placed upon an individual by social and occupational situations. This chronic stress can be measured using the Trier Inventory for Chronic Stress (TICS). Aims of the present study are to test the factorial structure of the TICS, report its psychometric properties, and evaluate the influence of gender and age on chronic stress.

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

Geographical breakdown

Country Count As %
Germany 2 2%
Ghana 1 1%
Switzerland 1 1%
Unknown 86 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 19%
Student > Master 16 18%
Student > Bachelor 15 17%
Researcher 14 16%
Student > Doctoral Student 10 11%
Other 13 14%
Unknown 5 6%
Readers by discipline Count As %
Psychology 39 43%
Medicine and Dentistry 14 16%
Sports and Recreations 6 7%
Neuroscience 3 3%
Social Sciences 3 3%
Other 13 14%
Unknown 12 13%

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 27 April 2012.
All research outputs
#10,995,467
of 12,373,180 outputs
Outputs from BMC Medical Research Methodology
#1,010
of 1,095 outputs
Outputs of similar age
#101,041
of 117,698 outputs
Outputs of similar age from BMC Medical Research Methodology
#15
of 16 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 1st percentile – i.e., 1% 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 117,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.