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FINDER: an automated software package to annotate eukaryotic genes from RNA-Seq data and associated protein sequences

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
67 X users
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
89 Mendeley
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Title
FINDER: an automated software package to annotate eukaryotic genes from RNA-Seq data and associated protein sequences
Published in
BMC Bioinformatics, April 2021
DOI 10.1186/s12859-021-04120-9
Pubmed ID
Authors

Sagnik Banerjee, Priyanka Bhandary, Margaret Woodhouse, Taner Z. Sen, Roger P. Wise, Carson M. Andorf

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 29%
Student > Ph. D. Student 12 13%
Student > Master 9 10%
Student > Doctoral Student 6 7%
Student > Bachelor 3 3%
Other 7 8%
Unknown 26 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 28%
Biochemistry, Genetics and Molecular Biology 19 21%
Computer Science 5 6%
Environmental Science 4 4%
Medicine and Dentistry 2 2%
Other 3 3%
Unknown 31 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 10 March 2024.
All research outputs
#1,078,514
of 25,461,852 outputs
Outputs from BMC Bioinformatics
#92
of 7,705 outputs
Outputs of similar age
#29,437
of 453,032 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 191 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,705 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 98% 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 453,032 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 93% of its contemporaries.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.