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Fast and efficient Rmap assembly using the Bi-labelled de Bruijn graph

Overview of attention for article published in Algorithms for Molecular Biology, May 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 263)
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Fast and efficient Rmap assembly using the Bi-labelled de Bruijn graph
Published in
Algorithms for Molecular Biology, May 2021
DOI 10.1186/s13015-021-00182-9
Pubmed ID
Authors

Kingshuk Mukherjee, Massimiliano Rossi, Leena Salmela, Christina Boucher

Twitter Demographics

The data shown below were collected from the profiles of 3 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 75%
Unknown 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Medicine and Dentistry 1 25%
Unknown 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 May 2022.
All research outputs
#3,863,948
of 22,559,301 outputs
Outputs from Algorithms for Molecular Biology
#29
of 263 outputs
Outputs of similar age
#81,051
of 353,506 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 1 outputs
Altmetric has tracked 22,559,301 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 263 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 88% 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 353,506 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 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