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Magic-BLAST, an accurate RNA-seq aligner for long and short reads

Overview of attention for article published in BMC Bioinformatics, July 2019
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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 (#33 of 7,095)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
3 blogs
twitter
69 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
141 Dimensions

Readers on

mendeley
270 Mendeley
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Title
Magic-BLAST, an accurate RNA-seq aligner for long and short reads
Published in
BMC Bioinformatics, July 2019
DOI 10.1186/s12859-019-2996-x
Pubmed ID
Authors

Grzegorz M. Boratyn, Jean Thierry-Mieg, Danielle Thierry-Mieg, Ben Busby, Thomas L. Madden

Twitter Demographics

The data shown below were collected from the profiles of 69 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 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 270 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 17%
Student > Ph. D. Student 44 16%
Student > Bachelor 44 16%
Student > Master 27 10%
Student > Doctoral Student 19 7%
Other 34 13%
Unknown 56 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 84 31%
Agricultural and Biological Sciences 69 26%
Computer Science 14 5%
Engineering 7 3%
Environmental Science 7 3%
Other 24 9%
Unknown 65 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 09 January 2022.
All research outputs
#636,106
of 22,096,435 outputs
Outputs from BMC Bioinformatics
#33
of 7,095 outputs
Outputs of similar age
#13,479
of 284,015 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 5 outputs
Altmetric has tracked 22,096,435 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 7,095 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 99% 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 284,015 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 95% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them