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A tri-tuple coordinate system derived for fast and accurate analysis of the colored de Bruijn graph-based pangenomes

Overview of attention for article published in BMC Bioinformatics, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
13 Mendeley
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Title
A tri-tuple coordinate system derived for fast and accurate analysis of the colored de Bruijn graph-based pangenomes
Published in
BMC Bioinformatics, May 2021
DOI 10.1186/s12859-021-04149-w
Pubmed ID
Authors

Jindan Guo, Erli Pang, Hongtao Song, Kui Lin

Twitter Demographics

The data shown below were collected from the profiles of 8 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 2 15%
Other 1 8%
Student > Master 1 8%
Unknown 5 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Medicine and Dentistry 2 15%
Agricultural and Biological Sciences 1 8%
Chemistry 1 8%
Engineering 1 8%
Other 0 0%
Unknown 5 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 June 2021.
All research outputs
#12,128,336
of 21,338,376 outputs
Outputs from BMC Bioinformatics
#3,623
of 6,922 outputs
Outputs of similar age
#151,168
of 349,473 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 45 outputs
Altmetric has tracked 21,338,376 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,922 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 349,473 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 45 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 53% of its contemporaries.