↓ 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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 251)
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
25 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

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Spain 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Ph. D. Student 7 28%
Student > Master 4 16%
Other 1 4%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 4 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 24%
Agricultural and Biological Sciences 4 16%
Computer Science 4 16%
Mathematics 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 4 16%
Unknown 4 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 April 2022.
All research outputs
#4,888,383
of 23,515,383 outputs
Outputs from Algorithms for Molecular Biology
#42
of 251 outputs
Outputs of similar age
#27,815
of 167,114 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 4 outputs
Altmetric has tracked 23,515,383 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 251 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 82% 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 167,114 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 78% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.