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SAM/BAM format v1.5 extensions for de novo assemblies

Overview of attention for article published in bioRxiv, May 2015
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
75 tweeters
googleplus
2 Google+ users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
57 Mendeley
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Title
SAM/BAM format v1.5 extensions for de novo assemblies
Published in
bioRxiv, May 2015
DOI 10.1101/020024
Authors

Peter J. A. Cock, James K Bonfield, Bastien Chevreux, Heng Li

Twitter Demographics

The data shown below were collected from the profiles of 75 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Sweden 1 2%
Norway 1 2%
United Kingdom 1 2%
Japan 1 2%
France 1 2%
Unknown 49 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 32%
Student > Bachelor 10 18%
Student > Ph. D. Student 9 16%
Student > Master 7 12%
Other 3 5%
Other 5 9%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 37%
Biochemistry, Genetics and Molecular Biology 15 26%
Computer Science 5 9%
Immunology and Microbiology 4 7%
Neuroscience 3 5%
Other 3 5%
Unknown 6 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 17 May 2018.
All research outputs
#516,956
of 17,356,510 outputs
Outputs from bioRxiv
#4,662
of 116,635 outputs
Outputs of similar age
#8,407
of 241,499 outputs
Outputs of similar age from bioRxiv
#21
of 413 outputs
Altmetric has tracked 17,356,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 116,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. 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 241,499 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 96% of its contemporaries.
We're also able to compare this research output to 413 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 94% of its contemporaries.