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Insulin and risk of diabetic retinopathy in patients with type 2 diabetes mellitus: data from a meta-analysis of seven cohort studies

Overview of attention for article published in Diagnostic Pathology, June 2014
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Title
Insulin and risk of diabetic retinopathy in patients with type 2 diabetes mellitus: data from a meta-analysis of seven cohort studies
Published in
Diagnostic Pathology, June 2014
DOI 10.1186/1746-1596-9-130
Pubmed ID
Authors

Chun Zhao, Weifang Wang, Ding Xu, Hui Li, Min Li, Fang Wang

Abstract

Type 2 diabetes mellitus (T2DM) is a chronic incurable disease associated with multi-systemic complications. The chronic complications related to T2DM induce growing burden to the national health system. Diabetic retinopathy (DR) is the most serious ocular complication associated with T2DM and one of the leading causes of secondary blindness. The association between insulin use and DR risk has also been reported in different studies.

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

Geographical breakdown

Country Count As %
Portugal 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 15%
Student > Bachelor 9 13%
Researcher 8 12%
Other 5 7%
Student > Master 5 7%
Other 10 15%
Unknown 21 31%
Readers by discipline Count As %
Medicine and Dentistry 23 34%
Nursing and Health Professions 6 9%
Biochemistry, Genetics and Molecular Biology 3 4%
Agricultural and Biological Sciences 2 3%
Veterinary Science and Veterinary Medicine 1 1%
Other 8 12%
Unknown 25 37%
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 28 June 2014.
All research outputs
#20,231,820
of 22,757,541 outputs
Outputs from Diagnostic Pathology
#943
of 1,122 outputs
Outputs of similar age
#192,248
of 227,675 outputs
Outputs of similar age from Diagnostic Pathology
#37
of 38 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% 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 227,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.