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MITE Tracker: an accurate approach to identify miniature inverted-repeat transposable elements in large genomes

Overview of attention for article published in BMC Bioinformatics, October 2018
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
29 tweeters

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
88 Mendeley
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Title
MITE Tracker: an accurate approach to identify miniature inverted-repeat transposable elements in large genomes
Published in
BMC Bioinformatics, October 2018
DOI 10.1186/s12859-018-2376-y
Pubmed ID
Authors

Juan Manuel Crescente, Diego Zavallo, Marcelo Helguera, Leonardo Sebastián Vanzetti

Twitter Demographics

The data shown below were collected from the profiles of 29 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 15 17%
Student > Master 13 15%
Student > Bachelor 8 9%
Student > Postgraduate 6 7%
Other 8 9%
Unknown 19 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 32%
Biochemistry, Genetics and Molecular Biology 25 28%
Computer Science 3 3%
Environmental Science 2 2%
Medicine and Dentistry 2 2%
Other 6 7%
Unknown 22 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 15 August 2019.
All research outputs
#1,355,886
of 17,392,251 outputs
Outputs from BMC Bioinformatics
#356
of 6,154 outputs
Outputs of similar age
#35,204
of 283,807 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 35 outputs
Altmetric has tracked 17,392,251 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 94% 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 283,807 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 87% of its contemporaries.
We're also able to compare this research output to 35 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.