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LTRsift: a graphical user interface for semi-automatic classification and postprocessing of de novo detected LTR retrotransposons

Overview of attention for article published in Mobile DNA, November 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
2 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
67 Mendeley
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Title
LTRsift: a graphical user interface for semi-automatic classification and postprocessing of de novo detected LTR retrotransposons
Published in
Mobile DNA, November 2012
DOI 10.1186/1759-8753-3-18
Pubmed ID
Authors

Sascha Steinbiss, Sascha Kastens, Stefan Kurtz

Twitter Demographics

The data shown below were collected from the profiles of 2 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 7%
United Kingdom 2 3%
France 1 1%
Germany 1 1%
Czechia 1 1%
United States 1 1%
Unknown 56 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 24%
Student > Ph. D. Student 12 18%
Student > Bachelor 6 9%
Student > Master 6 9%
Other 5 7%
Other 15 22%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 54%
Computer Science 9 13%
Biochemistry, Genetics and Molecular Biology 5 7%
Engineering 4 6%
Unspecified 1 1%
Other 3 4%
Unknown 9 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2015.
All research outputs
#6,115,765
of 11,870,104 outputs
Outputs from Mobile DNA
#104
of 171 outputs
Outputs of similar age
#52,956
of 134,609 outputs
Outputs of similar age from Mobile DNA
#2
of 7 outputs
Altmetric has tracked 11,870,104 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 171 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 134,609 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 59% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.