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The predictive value of mental health for long-term sickness absence: the Major Depression Inventory (MDI) and the Mental Health Inventory (MHI-5) compared

Overview of attention for article published in BMC Medical Research Methodology, September 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
95 Mendeley
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Title
The predictive value of mental health for long-term sickness absence: the Major Depression Inventory (MDI) and the Mental Health Inventory (MHI-5) compared
Published in
BMC Medical Research Methodology, September 2013
DOI 10.1186/1471-2288-13-115
Pubmed ID
Authors

Sannie Vester Thorsen, Reiner Rugulies, Pernille U Hjarsbech, Jakob Bue Bjorner

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

Geographical breakdown

Country Count As %
Denmark 1 1%
France 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 17%
Student > Master 9 9%
Student > Bachelor 9 9%
Researcher 8 8%
Student > Postgraduate 6 6%
Other 19 20%
Unknown 28 29%
Readers by discipline Count As %
Psychology 17 18%
Medicine and Dentistry 11 12%
Social Sciences 9 9%
Agricultural and Biological Sciences 4 4%
Economics, Econometrics and Finance 4 4%
Other 14 15%
Unknown 36 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 February 2023.
All research outputs
#7,256,569
of 23,642,687 outputs
Outputs from BMC Medical Research Methodology
#1,068
of 2,091 outputs
Outputs of similar age
#62,511
of 203,343 outputs
Outputs of similar age from BMC Medical Research Methodology
#12
of 23 outputs
Altmetric has tracked 23,642,687 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,091 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 47th percentile – i.e., 47% 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 203,343 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.