↓ Skip to main content

Back-translation for discovering distant protein homologies in the presence of frameshift mutations

Overview of attention for article published in Algorithms for Molecular Biology, January 2010
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#30 of 136)
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
20 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Back-translation for discovering distant protein homologies in the presence of frameshift mutations
Published in
Algorithms for Molecular Biology, January 2010
DOI 10.1186/1748-7188-5-6
Pubmed ID
Authors

Marta Gîrdea, Laurent Noé, Gregory Kucherov

Abstract

Frameshift mutations in protein-coding DNA sequences produce a drastic change in the resulting protein sequence, which prevents classic protein alignment methods from revealing the proteins' common origin. Moreover, when a large number of substitutions are additionally involved in the divergence, the homology detection becomes difficult even at the DNA level.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Spain 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Ph. D. Student 5 25%
Student > Master 4 20%
Student > Doctoral Student 2 10%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 2 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 20%
Agricultural and Biological Sciences 4 20%
Computer Science 4 20%
Mathematics 2 10%
Physics and Astronomy 1 5%
Other 2 10%
Unknown 3 15%

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 24 October 2015.
All research outputs
#1,455,477
of 6,405,271 outputs
Outputs from Algorithms for Molecular Biology
#30
of 136 outputs
Outputs of similar age
#59,663
of 203,925 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 17 outputs
Altmetric has tracked 6,405,271 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 136 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 72% 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 203,925 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 69% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.