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A new pipeline for structural characterization and classification of RNA-Seq microbiome data

Overview of attention for article published in BioData Mining, July 2021
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Readers on

mendeley
10 Mendeley
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Title
A new pipeline for structural characterization and classification of RNA-Seq microbiome data
Published in
BioData Mining, July 2021
DOI 10.1186/s13040-021-00266-7
Pubmed ID
Authors

Sebastian Racedo, Ivan Portnoy, Jorge I. Vélez, Homero San-Juan-Vergara, Marco Sanjuan, Eduardo Zurek

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Professor 2 20%
Unspecified 1 10%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Computer Science 2 20%
Engineering 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Immunology and Microbiology 1 10%
Unspecified 1 10%
Other 0 0%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 2022.
All research outputs
#3,704,649
of 23,308,124 outputs
Outputs from BioData Mining
#83
of 313 outputs
Outputs of similar age
#83,841
of 439,439 outputs
Outputs of similar age from BioData Mining
#2
of 10 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 73% 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 439,439 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 80% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.