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Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes

Overview of attention for article published in Diabetologia, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
9 tweeters
patent
1 patent

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
92 Mendeley
Title
Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes
Published in
Diabetologia, September 2014
DOI 10.1007/s00125-014-3362-1
Pubmed ID
Authors

Christiane Winkler, Jan Krumsiek, Florian Buettner, Christof Angermüller, Eleni Z. Giannopoulou, Fabian J. Theis, Anette-Gabriele Ziegler, Ezio Bonifacio

Abstract

More than 40 regions of the human genome confer susceptibility for type 1 diabetes and could be used to establish population screening strategies. The aim of our study was to identify weighted sets of SNP combinations for type 1 diabetes prediction.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Germany 1 1%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 24%
Student > Ph. D. Student 17 18%
Student > Bachelor 9 10%
Student > Master 8 9%
Student > Doctoral Student 5 5%
Other 20 22%
Unknown 11 12%
Readers by discipline Count As %
Medicine and Dentistry 24 26%
Agricultural and Biological Sciences 16 17%
Biochemistry, Genetics and Molecular Biology 15 16%
Immunology and Microbiology 6 7%
Computer Science 6 7%
Other 12 13%
Unknown 13 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 July 2018.
All research outputs
#2,121,044
of 13,218,736 outputs
Outputs from Diabetologia
#1,039
of 3,814 outputs
Outputs of similar age
#33,489
of 201,945 outputs
Outputs of similar age from Diabetologia
#14
of 50 outputs
Altmetric has tracked 13,218,736 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,814 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has gotten more attention than average, scoring higher than 71% 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 201,945 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.