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PhyloScan: identification of transcription factor binding sites using cross-species evidence

Overview of attention for article published in Algorithms for Molecular Biology, January 2007
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

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24 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
7 CiteULike
connotea
1 Connotea
Title
PhyloScan: identification of transcription factor binding sites using cross-species evidence
Published in
Algorithms for Molecular Biology, January 2007
DOI 10.1186/1748-7188-2-1
Pubmed ID
Authors

C Steven Carmack, Lee Ann McCue, Lee A Newberg, Charles E Lawrence

Abstract

When transcription factor binding sites are known for a particular transcription factor, it is possible to construct a motif model that can be used to scan sequences for additional sites. However, few statistically significant sites are revealed when a transcription factor binding site motif model is used to scan a genome-scale database.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 9%
France 2 5%
India 2 5%
Australia 1 2%
Spain 1 2%
Switzerland 1 2%
Unknown 33 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 34%
Student > Ph. D. Student 7 16%
Student > Master 5 11%
Professor 3 7%
Professor > Associate Professor 3 7%
Other 8 18%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 48%
Biochemistry, Genetics and Molecular Biology 8 18%
Computer Science 6 14%
Mathematics 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 6 14%
Attention Score in Context

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 03 November 2011.
All research outputs
#7,454,427
of 22,789,566 outputs
Outputs from Algorithms for Molecular Biology
#73
of 264 outputs
Outputs of similar age
#43,891
of 161,216 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 1 outputs
Altmetric has tracked 22,789,566 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 68% 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 161,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them