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Internal construct validity of the stress-energy questionnaire in a working population, a cohort study

Overview of attention for article published in BMC Public Health, February 2015
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Mentioned by

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1 tweeter

Citations

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9 Dimensions

Readers on

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41 Mendeley
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Title
Internal construct validity of the stress-energy questionnaire in a working population, a cohort study
Published in
BMC Public Health, February 2015
DOI 10.1186/s12889-015-1524-9
Pubmed ID
Authors

Emina Hadzibajramovic, Gunnar Ahlborg, Anna Grimby-Ekman, Åsa Lundgren-Nilsson

Abstract

Psychosocial stress at work has been recognised as one of the most important factors behind the increase in sick leave due to stress-related mental disorders. It is therefore important to be able to measure perceived work stress in a way that is both valid and reliable. It has been suggested that the Stress-Energy Questionnaire (SEQ) could be a useful tool for measuring mood (stress and energy) at work and it has been used in many Scandinavian studies. The aim of the study is to examine the internal construct validity of the SEQ in a working population and to address measurement issues, such as the ordering of response categories and potential differences in how women and men use the scale - what is termed differential item functioning (DIF).

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 %
India 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Researcher 8 20%
Student > Bachelor 5 12%
Student > Doctoral Student 4 10%
Student > Postgraduate 3 7%
Other 5 12%
Unknown 5 12%
Readers by discipline Count As %
Medicine and Dentistry 13 32%
Psychology 6 15%
Social Sciences 3 7%
Nursing and Health Professions 3 7%
Engineering 2 5%
Other 7 17%
Unknown 7 17%

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 18 April 2015.
All research outputs
#2,658,523
of 5,007,431 outputs
Outputs from BMC Public Health
#3,930
of 5,502 outputs
Outputs of similar age
#88,203
of 154,978 outputs
Outputs of similar age from BMC Public Health
#174
of 238 outputs
Altmetric has tracked 5,007,431 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,502 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 18th percentile – i.e., 18% 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 154,978 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 238 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.