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LTC: a novel algorithm to improve the efficiency of contig assembly for physical mapping in complex genomes

Overview of attention for article published in BMC Bioinformatics, November 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
41 Mendeley
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Title
LTC: a novel algorithm to improve the efficiency of contig assembly for physical mapping in complex genomes
Published in
BMC Bioinformatics, November 2010
DOI 10.1186/1471-2105-11-584
Pubmed ID
Authors

Zeev Frenkel, Etienne Paux, David Mester, Catherine Feuillet, Abraham Korol

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 7%
Argentina 2 5%
United Kingdom 1 2%
Israel 1 2%
Brazil 1 2%
Unknown 33 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 37%
Researcher 11 27%
Student > Master 5 12%
Other 3 7%
Student > Bachelor 2 5%
Other 4 10%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 73%
Biochemistry, Genetics and Molecular Biology 6 15%
Arts and Humanities 1 2%
Computer Science 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 1 2%

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 29 June 2014.
All research outputs
#5,970,869
of 18,330,451 outputs
Outputs from BMC Bioinformatics
#2,551
of 6,378 outputs
Outputs of similar age
#46,993
of 141,707 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 3 outputs
Altmetric has tracked 18,330,451 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 51% 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 141,707 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 66% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.