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Attaching metabolic expenditures to standard occupational classification systems: perspectives from time-use research

Overview of attention for article published in BMC Public Health, July 2017
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Title
Attaching metabolic expenditures to standard occupational classification systems: perspectives from time-use research
Published in
BMC Public Health, July 2017
DOI 10.1186/s12889-017-4546-7
Pubmed ID
Authors

J. Deyaert, T. Harms, D. Weenas, J. Gershuny, I. Glorieux

Abstract

Traditionally, time-use data have been used to inform a broad range of economic and sociological research topics. One of the new areas in time-use research is the study of physical activity (PA) and physical activity energy expenditure (PAEE). Time-use data can be used to study PAEE by assigning MET values to daily activities using the Ainsworth Compendium of Physical Activities. Although most diarists record their daily activities accurately and in detail, they are only required to record their paid working hours, not the job-specific tasks they undertake. This makes it difficult to assign MET values to paid work episodes. In this methodological paper, we explain how we addressed this problem by using the detailed information about respondents' occupational status included in time-use survey household and individual questionnaires. We used the 2008 ISCO manual, a lexicon of the International Labour Organization of occupational titles and their related job-specific tasks. We first assigned a MET value to job-specific tasks using the Ainsworth compendium (2011) then calculated MET values for each of the 436 occupations in the ISCO-08 manual by averaging all job-specific MET values for each occupation. The ISCO-08 Major Groups of 'elementary occupations' and 'craft and related trades workers' are associated with high PAEE variation in terms of their job-specific MET values and together represented 21.6% of the Belgian working population in 2013. We recommend that these occupational categories should be prioritised for further in-depth research into occupational activity (OA). We developed a clear and replicable procedure to calculate occupational activity for all ISCO-08 occupations. All of our calculations are attached to this manuscript which other researchers may use, replicate and refine.

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The data shown below were collected from the profiles of 2 X users 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Ph. D. Student 8 16%
Researcher 6 12%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 11 22%
Unknown 9 18%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Nursing and Health Professions 6 12%
Social Sciences 5 10%
Computer Science 3 6%
Economics, Econometrics and Finance 3 6%
Other 13 25%
Unknown 12 24%
Attention Score in Context

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 20 July 2017.
All research outputs
#16,593,875
of 25,393,071 outputs
Outputs from BMC Public Health
#12,737
of 17,529 outputs
Outputs of similar age
#196,065
of 326,262 outputs
Outputs of similar age from BMC Public Health
#204
of 251 outputs
Altmetric has tracked 25,393,071 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 26th percentile – i.e., 26% 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 326,262 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 251 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.