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Genome-wide DNA methylation analysis for diabetic nephropathy in type 1 diabetes mellitus

Overview of attention for article published in BMC Medical Genomics, August 2010
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Mentioned by

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1 tweeter

Citations

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252 Dimensions

Readers on

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210 Mendeley
citeulike
2 CiteULike
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1 Connotea
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Title
Genome-wide DNA methylation analysis for diabetic nephropathy in type 1 diabetes mellitus
Published in
BMC Medical Genomics, August 2010
DOI 10.1186/1755-8794-3-33
Pubmed ID
Authors

Christopher G Bell, Andrew E Teschendorff, Vardhman K Rakyan, Alexander P Maxwell, Stephan Beck, David A Savage

Abstract

Diabetic nephropathy is a serious complication of diabetes mellitus and is associated with considerable morbidity and high mortality. There is increasing evidence to suggest that dysregulation of the epigenome is involved in diabetic nephropathy. We assessed whether epigenetic modification of DNA methylation is associated with diabetic nephropathy in a case-control study of 192 Irish patients with type 1 diabetes mellitus (T1D). Cases had T1D and nephropathy whereas controls had T1D but no evidence of renal disease.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 3 1%
Germany 1 <1%
Netherlands 1 <1%
France 1 <1%
Nigeria 1 <1%
Canada 1 <1%
Unknown 199 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 23%
Researcher 46 22%
Student > Master 28 13%
Other 15 7%
Student > Bachelor 14 7%
Other 37 18%
Unknown 21 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 32%
Medicine and Dentistry 47 22%
Biochemistry, Genetics and Molecular Biology 36 17%
Computer Science 6 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 21 10%
Unknown 28 13%

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 20 November 2012.
All research outputs
#2,015,205
of 3,633,792 outputs
Outputs from BMC Medical Genomics
#138
of 235 outputs
Outputs of similar age
#146,535
of 275,100 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 20 outputs
Altmetric has tracked 3,633,792 research outputs across all sources so far. This one is in the 26th percentile – i.e., 26% of other outputs scored the same or lower than it.
So far Altmetric has tracked 235 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 25th percentile – i.e., 25% 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 275,100 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 20 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.