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LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons

Overview of attention for article published in BMC Bioinformatics, January 2008
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets

Citations

dimensions_citation
1129 Dimensions

Readers on

mendeley
507 Mendeley
citeulike
9 CiteULike
connotea
1 Connotea
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Title
LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons
Published in
BMC Bioinformatics, January 2008
DOI 10.1186/1471-2105-9-18
Pubmed ID
Authors

David Ellinghaus, Stefan Kurtz, Ute Willhoeft

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 507 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
Brazil 3 <1%
France 3 <1%
Germany 2 <1%
United Kingdom 2 <1%
Spain 2 <1%
Colombia 1 <1%
Australia 1 <1%
Norway 1 <1%
Other 9 2%
Unknown 478 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 114 22%
Researcher 100 20%
Student > Master 48 9%
Student > Bachelor 45 9%
Student > Postgraduate 27 5%
Other 71 14%
Unknown 102 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 239 47%
Biochemistry, Genetics and Molecular Biology 94 19%
Computer Science 20 4%
Engineering 6 1%
Medicine and Dentistry 5 <1%
Other 27 5%
Unknown 116 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 22 March 2023.
All research outputs
#2,557,953
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#647
of 7,793 outputs
Outputs of similar age
#9,491
of 174,515 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 42 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 91% 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 174,515 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 94% of its contemporaries.
We're also able to compare this research output to 42 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 92% of its contemporaries.