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Comparing de novo transcriptome assembly tools in di- and autotetraploid non-model plant species

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Comparing de novo transcriptome assembly tools in di- and autotetraploid non-model plant species
Published in
BMC Bioinformatics, March 2021
DOI 10.1186/s12859-021-04078-8
Pubmed ID
Authors

Silvia Madritsch, Agnes Burg, Eva M. Sehr

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 29%
Researcher 3 18%
Student > Master 2 12%
Student > Ph. D. Student 1 6%
Other 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Agricultural and Biological Sciences 4 24%
Psychology 1 6%
Immunology and Microbiology 1 6%
Unknown 6 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 May 2021.
All research outputs
#5,022,291
of 21,165,417 outputs
Outputs from BMC Bioinformatics
#1,878
of 6,882 outputs
Outputs of similar age
#98,861
of 328,568 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 38 outputs
Altmetric has tracked 21,165,417 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,882 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 72% 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 328,568 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 69% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.