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SLC2A10 genetic polymorphism predicts development of peripheral arterial disease in patients with type 2 diabetes. SLC2A10and PAD in type 2 diabetes

Overview of attention for article published in BMC Medical Genomics, August 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
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Title
SLC2A10 genetic polymorphism predicts development of peripheral arterial disease in patients with type 2 diabetes. SLC2A10and PAD in type 2 diabetes
Published in
BMC Medical Genomics, August 2010
DOI 10.1186/1471-2350-11-126
Pubmed ID
Authors

Yi-Der Jiang, Yi-Cheng Chang, Yen-Feng Chiu, Tien-Jyun Chang, Hung-Yuan Li, Wen-Hsing Lin, Hsiang-Yu Yuan, Yuan-Tsong Chen, Lee-Ming Chuang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Other 5 15%
Professor 3 9%
Student > Postgraduate 3 9%
Student > Master 3 9%
Other 6 18%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 35%
Medicine and Dentistry 6 18%
Agricultural and Biological Sciences 4 12%
Nursing and Health Professions 1 3%
Environmental Science 1 3%
Other 2 6%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 11 March 2018.
All research outputs
#6,753,240
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#449
of 2,444 outputs
Outputs of similar age
#31,790
of 103,379 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 14 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 81% 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 103,379 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.