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Enhanced methods for unbiased deep sequencing of Lassa and Ebola RNA viruses from clinical and biological samples.

Overview of attention for article published in Genome Biology (Online Edition), November 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
66 tweeters
facebook
2 Facebook pages

Readers on

mendeley
81 Mendeley
citeulike
2 CiteULike
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Title
Enhanced methods for unbiased deep sequencing of Lassa and Ebola RNA viruses from clinical and biological samples.
Published in
Genome Biology (Online Edition), November 2014
DOI 10.1186/preaccept-1698056557139770
Pubmed ID
Authors

Matranga CB, Andersen KG, Winnicki S, Busby M, Gladden AD, Tewhey R, Stremlau M, Berlin A, Gire SK, England E, Moses LM, Mikkelsen TS, Odia I, Ehiane PE, Folarin O, Goba A, Kahn S, Grant DS, Honko A, Hensley L, Happi C, Garry RF, Malboeuf CM, Birren BW, Gnirke A, Levin JZ, Sabeti PC

Twitter Demographics

The data shown below were collected from the profiles of 66 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 9%
Germany 3 4%
United Kingdom 2 2%
South Africa 1 1%
Brazil 1 1%
Sweden 1 1%
Canada 1 1%
Unknown 65 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 53%
Student > Ph. D. Student 24 30%
Student > Master 15 19%
Other 11 14%
Student > Bachelor 8 10%
Other 23 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 80%
Biochemistry, Genetics and Molecular Biology 21 26%
Medicine and Dentistry 12 15%
Immunology and Microbiology 8 10%
Computer Science 4 5%
Other 14 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 10 August 2015.
All research outputs
#72,987
of 7,517,786 outputs
Outputs from Genome Biology (Online Edition)
#77
of 2,224 outputs
Outputs of similar age
#2,830
of 225,019 outputs
Outputs of similar age from Genome Biology (Online Edition)
#4
of 103 outputs
Altmetric has tracked 7,517,786 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,224 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done particularly well, scoring higher than 96% 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 225,019 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 103 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 96% of its contemporaries.