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GWATCH: a web platform for automated gene association discovery analysis

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

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 763)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
74 tweeters
patent
1 patent
peer_reviews
1 peer review site
facebook
4 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
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Title
GWATCH: a web platform for automated gene association discovery analysis
Published in
Giga Science, November 2014
DOI 10.1186/2047-217x-3-18
Pubmed ID
Authors

Anton Svitin, Sergey Malov, Nikolay Cherkasov, Paul Geerts, Mikhail Rotkevich, Pavel Dobrynin, Andrey Shevchenko, Li Guan, Jennifer Troyer, Sher Hendrickson, Holli Hutcheson Dilks, Taras K Oleksyk, Sharyne Donfield, Edward Gomperts, Douglas A Jabs, Efe Sezgin, Mark Van Natta, P Richard Harrigan, Zabrina L Brumme, Stephen J O’Brien

Twitter Demographics

The data shown below were collected from the profiles of 74 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Chile 1 2%
Hong Kong 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 9 18%
Professor > Associate Professor 7 14%
Student > Postgraduate 5 10%
Student > Master 4 8%
Other 8 16%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 43%
Biochemistry, Genetics and Molecular Biology 9 18%
Nursing and Health Professions 3 6%
Medicine and Dentistry 3 6%
Computer Science 3 6%
Other 4 8%
Unknown 6 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 111. 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 26 October 2017.
All research outputs
#189,312
of 15,821,424 outputs
Outputs from Giga Science
#20
of 763 outputs
Outputs of similar age
#3,062
of 235,548 outputs
Outputs of similar age from Giga Science
#3
of 36 outputs
Altmetric has tracked 15,821,424 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 763 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one has done particularly well, scoring higher than 97% 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 235,548 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 98% 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 has done particularly well, scoring higher than 91% of its contemporaries.