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Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study

Overview of attention for article published in BMC Public Health, December 2013
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5 X users

Citations

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52 Dimensions

Readers on

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121 Mendeley
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Title
Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study
Published in
BMC Public Health, December 2013
DOI 10.1186/1471-2458-13-1110
Pubmed ID
Authors

Corneel Vandelanotte, Mitch J Duncan, Camille Short, Matthew Rockloff, Kevin Ronan, Brenda Happell, Lee Di Milia

Abstract

A better understanding of how occupational indicators (e.g. job type, doing shift-work, hours worked, physical demand) influence sitting time will aid in the design of more effective health behaviour interventions. The aim of the study was to examine the associations between several occupational indicators and total, occupational and leisure-time sitting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Germany 1 <1%
Ghana 1 <1%
Unknown 117 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 19%
Student > Master 21 17%
Researcher 11 9%
Student > Bachelor 9 7%
Student > Doctoral Student 7 6%
Other 18 15%
Unknown 32 26%
Readers by discipline Count As %
Medicine and Dentistry 28 23%
Nursing and Health Professions 14 12%
Sports and Recreations 11 9%
Social Sciences 8 7%
Psychology 7 6%
Other 18 15%
Unknown 35 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 December 2013.
All research outputs
#13,859,387
of 23,881,329 outputs
Outputs from BMC Public Health
#9,657
of 15,466 outputs
Outputs of similar age
#169,843
of 313,294 outputs
Outputs of similar age from BMC Public Health
#168
of 261 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 36th percentile – i.e., 36% 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 313,294 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 261 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.