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Comprehensive comparison of three commercial human whole-exome capture platforms

Overview of attention for article published in Genome Biology (Online Edition), January 2011
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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 (94th percentile)

Mentioned by

blogs
2 blogs
twitter
9 tweeters
patent
3 patents
googleplus
1 Google+ user

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
255 Mendeley
citeulike
11 CiteULike
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Title
Comprehensive comparison of three commercial human whole-exome capture platforms
Published in
Genome Biology (Online Edition), January 2011
DOI 10.1186/gb-2011-12-9-r95
Pubmed ID
Authors

Asan, Yu Xu, Hui Jiang, Chris Tyler-Smith, Yali Xue, Tao Jiang, Jiawei Wang, Mingzhi Wu, Xiao Liu, Geng Tian, Jun Wang, Jian Wang, Huangming Yang, Xiuqing Zhang

Abstract

Exome sequencing, which allows the global analysis of protein coding sequences in the human genome, has become an effective and affordable approach to detecting causative genetic mutations in diseases. Currently, there are several commercial human exome capture platforms; however, the relative performances of these have not been characterized sufficiently to know which is best for a particular study.

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

Geographical breakdown

Country Count As %
United States 6 2%
Spain 3 1%
Italy 3 1%
India 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
Sweden 1 <1%
Belgium 1 <1%
Other 4 2%
Unknown 230 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 83 33%
Student > Ph. D. Student 54 21%
Student > Master 24 9%
Other 17 7%
Professor 15 6%
Other 48 19%
Unknown 14 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 142 56%
Biochemistry, Genetics and Molecular Biology 34 13%
Medicine and Dentistry 32 13%
Computer Science 11 4%
Chemistry 3 1%
Other 13 5%
Unknown 20 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 24 July 2018.
All research outputs
#909,815
of 15,799,426 outputs
Outputs from Genome Biology (Online Edition)
#902
of 3,393 outputs
Outputs of similar age
#5,290
of 103,931 outputs
Outputs of similar age from Genome Biology (Online Edition)
#2
of 2 outputs
Altmetric has tracked 15,799,426 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.9. This one has gotten more attention than average, scoring higher than 73% 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 103,931 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.