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Disease-associated variants in different categories of disease located in distinct regulatory elements

Overview of attention for article published in BMC Genomics, June 2015
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Readers on

mendeley
106 Mendeley
citeulike
1 CiteULike
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Title
Disease-associated variants in different categories of disease located in distinct regulatory elements
Published in
BMC Genomics, June 2015
DOI 10.1186/1471-2164-16-s8-s3
Pubmed ID
Authors

Meng Ma, Ying Ru, Ling-Shiang Chuang, Nai-Yun Hsu, Li-Song Shi, Jörg Hakenberg, Wei-Yi Cheng, Andrew Uzilov, Wei Ding, Benjamin S Glicksberg, Rong Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Spain 2 2%
Hong Kong 1 <1%
United Kingdom 1 <1%
Unknown 99 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 19 18%
Student > Bachelor 13 12%
Student > Master 10 9%
Student > Doctoral Student 6 6%
Other 14 13%
Unknown 20 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 37%
Agricultural and Biological Sciences 21 20%
Medicine and Dentistry 9 8%
Computer Science 6 6%
Nursing and Health Professions 2 2%
Other 5 5%
Unknown 24 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 23 October 2015.
All research outputs
#4,244,876
of 26,017,215 outputs
Outputs from BMC Genomics
#1,496
of 11,367 outputs
Outputs of similar age
#49,442
of 281,491 outputs
Outputs of similar age from BMC Genomics
#37
of 250 outputs
Altmetric has tracked 26,017,215 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 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 86% 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 281,491 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 81% of its contemporaries.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.