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Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology

Overview of attention for article published in Giga Science, December 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
23 tweeters
peer_reviews
1 peer review site
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
145 Mendeley
citeulike
2 CiteULike
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Title
Rapid detection of structural variation in a human genome using nanochannel-based genome mapping technology
Published in
Giga Science, December 2014
DOI 10.1186/2047-217x-3-34
Pubmed ID
Authors

Hongzhi Cao, Alex R Hastie, Dandan Cao, Ernest T Lam, Yuhui Sun, Haodong Huang, Xiao Liu, Liya Lin, Warren Andrews, Saki Chan, Shujia Huang, Xin Tong, Michael Requa, Thomas Anantharaman, Anders Krogh, Huanming Yang, Han Cao, Xun Xu

Twitter Demographics

The data shown below were collected from the profiles of 23 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Netherlands 2 1%
United States 2 1%
Hong Kong 2 1%
France 1 <1%
Thailand 1 <1%
Switzerland 1 <1%
Unknown 133 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Researcher 31 21%
Student > Master 18 12%
Student > Bachelor 14 10%
Other 10 7%
Other 22 15%
Unknown 11 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 44%
Biochemistry, Genetics and Molecular Biology 23 16%
Computer Science 12 8%
Chemistry 8 6%
Engineering 7 5%
Other 18 12%
Unknown 13 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 28 January 2016.
All research outputs
#472,807
of 12,563,878 outputs
Outputs from Giga Science
#112
of 523 outputs
Outputs of similar age
#12,528
of 286,508 outputs
Outputs of similar age from Giga Science
#19
of 36 outputs
Altmetric has tracked 12,563,878 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 523 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one has done well, scoring higher than 78% 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 286,508 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 95% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.