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Prediction of mortality and macrovascular complications in type 2 diabetes: validation of the UKPDS Outcomes Model in the Casale Monferrato Survey, Italy

Overview of attention for article published in Diabetologia, May 2013
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Title
Prediction of mortality and macrovascular complications in type 2 diabetes: validation of the UKPDS Outcomes Model in the Casale Monferrato Survey, Italy
Published in
Diabetologia, May 2013
DOI 10.1007/s00125-013-2933-x
Pubmed ID
Authors

E. Pagano, A. Gray, R. Rosato, G. Gruden, P. Cavallo Perin, F. Merletti, G. Bruno

Abstract

The United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model can be used to estimate the lifetime occurrence of major diabetes-related complications in order to calculate health economic outcomes. The aim of the study was to assess the performance of the model by comparing the predicted and observed mortality and the incidence of macrovascular complications in an Italian population-based cohort with type 2 diabetes.

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X Demographics

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Mexico 1 2%
Australia 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Ph. D. Student 9 16%
Other 7 12%
Student > Doctoral Student 6 10%
Student > Master 6 10%
Other 9 16%
Unknown 11 19%
Readers by discipline Count As %
Medicine and Dentistry 26 45%
Agricultural and Biological Sciences 3 5%
Computer Science 2 3%
Nursing and Health Professions 2 3%
Economics, Econometrics and Finance 2 3%
Other 8 14%
Unknown 15 26%
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 27 September 2013.
All research outputs
#15,272,611
of 22,711,242 outputs
Outputs from Diabetologia
#4,441
of 5,029 outputs
Outputs of similar age
#121,350
of 196,382 outputs
Outputs of similar age from Diabetologia
#40
of 55 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one is in the 8th percentile – i.e., 8% 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 196,382 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 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.