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Colib’read on galaxy: a tools suite dedicated to biological information extraction from raw NGS reads

Overview of attention for article published in Giga Science, February 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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
17 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
2 CiteULike
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Title
Colib’read on galaxy: a tools suite dedicated to biological information extraction from raw NGS reads
Published in
Giga Science, February 2016
DOI 10.1186/s13742-015-0105-2
Pubmed ID
Authors

Yvan Le Bras, Olivier Collin, Cyril Monjeaud, Vincent Lacroix, Éric Rivals, Claire Lemaitre, Vincent Miele, Gustavo Sacomoto, Camille Marchet, Bastien Cazaux, Amal Zine El Aabidine, Leena Salmela, Susete Alves-Carvalho, Alexan Andrieux, Raluca Uricaru, Pierre Peterlongo

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 5%
France 1 3%
United Kingdom 1 3%
Unknown 36 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 30%
Student > Postgraduate 5 13%
Student > Bachelor 4 10%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 3 8%
Other 5 13%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 30%
Biochemistry, Genetics and Molecular Biology 9 23%
Computer Science 6 15%
Mathematics 1 3%
Environmental Science 1 3%
Other 3 8%
Unknown 8 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 14 November 2021.
All research outputs
#2,015,336
of 25,837,817 outputs
Outputs from Giga Science
#386
of 1,176 outputs
Outputs of similar age
#35,039
of 413,669 outputs
Outputs of similar age from Giga Science
#5
of 16 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. This one has gotten more attention than average, scoring higher than 67% 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 413,669 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 91% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.