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External validation of two prediction models identifying employees at risk of high sickness absence: cohort study with 1-year follow-up

Overview of attention for article published in BMC Public Health, February 2013
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1 X user

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44 Mendeley
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Title
External validation of two prediction models identifying employees at risk of high sickness absence: cohort study with 1-year follow-up
Published in
BMC Public Health, February 2013
DOI 10.1186/1471-2458-13-105
Pubmed ID
Authors

Corné AM Roelen, Ute Bültmann, Willem van Rhenen, Jac JL van der Klink, Jos WR Twisk, Martijn W Heymans

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

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Master 7 16%
Researcher 4 9%
Student > Bachelor 3 7%
Student > Postgraduate 3 7%
Other 10 23%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Agricultural and Biological Sciences 3 7%
Social Sciences 3 7%
Arts and Humanities 3 7%
Economics, Econometrics and Finance 2 5%
Other 15 34%
Unknown 8 18%
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 04 March 2013.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from BMC Public Health
#15,552
of 17,839 outputs
Outputs of similar age
#236,703
of 295,989 outputs
Outputs of similar age from BMC Public Health
#266
of 291 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,839 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 5th percentile – i.e., 5% 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 295,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.