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The economic impact of diabetes through lost labour force participation on individuals and government: evidence from a microsimulation model

Overview of attention for article published in BMC Public Health, March 2014
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Title
The economic impact of diabetes through lost labour force participation on individuals and government: evidence from a microsimulation model
Published in
BMC Public Health, March 2014
DOI 10.1186/1471-2458-14-220
Pubmed ID
Authors

Deborah Schofield, Michelle M Cunich, Rupendra N Shrestha, Megan E Passey, Lennert Veerman, Emily J Callander, Simon J Kelly, Robert Tanton

Abstract

Diabetes is a costly and debilitating disease. The aim of the study is to quantify the individual and national costs of diabetes resulting from people retiring early because of this disease, including lost income; lost income taxation, increased government welfare payments; and reductions in GDP.

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

Geographical breakdown

Country Count As %
Bangladesh 1 1%
Australia 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 11%
Researcher 9 11%
Student > Bachelor 9 11%
Student > Doctoral Student 6 7%
Student > Master 6 7%
Other 11 14%
Unknown 31 38%
Readers by discipline Count As %
Medicine and Dentistry 8 10%
Economics, Econometrics and Finance 7 9%
Social Sciences 7 9%
Nursing and Health Professions 6 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 16 20%
Unknown 33 41%
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 15 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from BMC Public Health
#12,827
of 14,832 outputs
Outputs of similar age
#160,900
of 221,300 outputs
Outputs of similar age from BMC Public Health
#252
of 282 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,832 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% 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 221,300 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 282 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.