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DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses

Overview of attention for article published in BMC Bioinformatics, April 2020
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
19 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
13 Mendeley
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Title
DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses
Published in
BMC Bioinformatics, April 2020
DOI 10.1186/s12859-020-3498-6
Authors

Thomas Hütter, Maximilian H Ganser, Manuel Kocher, Merima Halkic, Sabine Agatha, Nikolaus Augsten

Twitter Demographics

The data shown below were collected from the profiles of 19 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 15%
Student > Doctoral Student 2 15%
Student > Ph. D. Student 2 15%
Researcher 2 15%
Student > Master 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 38%
Environmental Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Social Sciences 1 8%
Unknown 5 38%

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 09 June 2020.
All research outputs
#3,248,452
of 21,255,122 outputs
Outputs from BMC Bioinformatics
#1,202
of 6,902 outputs
Outputs of similar age
#66,953
of 295,074 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 6 outputs
Altmetric has tracked 21,255,122 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 6,902 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 done well, scoring higher than 82% 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 295,074 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 77% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.