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PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets

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

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
42 Mendeley
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Title
PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets
Published in
BMC Bioinformatics, June 2021
DOI 10.1186/s12859-021-04270-w
Pubmed ID
Authors

Léa Pradier, Tazzio Tissot, Anna-Sophie Fiston-Lavier, Stéphanie Bedhomme

Twitter Demographics

The data shown below were collected from the profiles of 10 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Ph. D. Student 6 14%
Student > Master 5 12%
Student > Bachelor 4 10%
Professor 2 5%
Other 5 12%
Unknown 12 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 24%
Immunology and Microbiology 6 14%
Agricultural and Biological Sciences 6 14%
Computer Science 4 10%
Business, Management and Accounting 2 5%
Other 2 5%
Unknown 12 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 June 2021.
All research outputs
#5,690,216
of 21,443,788 outputs
Outputs from BMC Bioinformatics
#2,203
of 6,961 outputs
Outputs of similar age
#106,579
of 342,057 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 19 outputs
Altmetric has tracked 21,443,788 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 6,961 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 gotten more attention than average, scoring higher than 68% 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 342,057 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 68% of its contemporaries.
We're also able to compare this research output to 19 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 73% of its contemporaries.