↓ Skip to main content

Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting

Overview of attention for article published in BMC Medicine, September 2011
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
20 X users
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
396 Dimensions

Readers on

mendeley
405 Mendeley
citeulike
2 CiteULike
Title
Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting
Published in
BMC Medicine, September 2011
DOI 10.1186/1741-7015-9-103
Pubmed ID
Authors

Gary S Collins, Susan Mallett, Omar Omar, Ly-Mee Yu

Abstract

The World Health Organisation estimates that by 2030 there will be approximately 350 million people with type 2 diabetes. Associated with renal complications, heart disease, stroke and peripheral vascular disease, early identification of patients with undiagnosed type 2 diabetes or those at an increased risk of developing type 2 diabetes is an important challenge. We sought to systematically review and critically assess the conduct and reporting of methods used to develop risk prediction models for predicting the risk of having undiagnosed (prevalent) or future risk of developing (incident) type 2 diabetes in adults.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 405 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 <1%
United States 3 <1%
Portugal 2 <1%
Spain 2 <1%
Malaysia 1 <1%
Germany 1 <1%
Australia 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Other 5 1%
Unknown 385 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 16%
Student > Master 63 16%
Student > Ph. D. Student 61 15%
Student > Bachelor 25 6%
Other 23 6%
Other 92 23%
Unknown 75 19%
Readers by discipline Count As %
Medicine and Dentistry 158 39%
Computer Science 29 7%
Agricultural and Biological Sciences 19 5%
Nursing and Health Professions 19 5%
Mathematics 14 3%
Other 72 18%
Unknown 94 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 13 April 2023.
All research outputs
#1,126,316
of 26,017,215 outputs
Outputs from BMC Medicine
#796
of 4,076 outputs
Outputs of similar age
#4,671
of 140,695 outputs
Outputs of similar age from BMC Medicine
#5
of 27 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,076 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.0. This one has done well, scoring higher than 80% of its peers.
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 140,695 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.