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Statistical evaluation of methods for identification of differentially abundant genes in comparative metagenomics

Overview of attention for article published in BMC Genomics, January 2016
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
22 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
116 Dimensions

Readers on

mendeley
389 Mendeley
citeulike
3 CiteULike
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Title
Statistical evaluation of methods for identification of differentially abundant genes in comparative metagenomics
Published in
BMC Genomics, January 2016
DOI 10.1186/s12864-016-2386-y
Pubmed ID
Authors

Viktor Jonsson, Tobias Österlund, Olle Nerman, Erik Kristiansson

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 389 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Canada 2 <1%
Brazil 2 <1%
Netherlands 1 <1%
France 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Estonia 1 <1%
Other 3 <1%
Unknown 371 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 24%
Researcher 76 20%
Student > Master 59 15%
Student > Doctoral Student 26 7%
Student > Bachelor 24 6%
Other 57 15%
Unknown 55 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 133 34%
Biochemistry, Genetics and Molecular Biology 73 19%
Environmental Science 24 6%
Computer Science 22 6%
Immunology and Microbiology 21 5%
Other 51 13%
Unknown 65 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 03 July 2018.
All research outputs
#1,729,864
of 26,017,215 outputs
Outputs from BMC Genomics
#336
of 11,400 outputs
Outputs of similar age
#29,730
of 411,625 outputs
Outputs of similar age from BMC Genomics
#9
of 268 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. 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 411,625 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 92% of its contemporaries.
We're also able to compare this research output to 268 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.