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Computational prediction of transcription-factor binding site locations

Overview of attention for article published in Genome Biology, December 2003
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2 Wikipedia pages

Citations

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246 Dimensions

Readers on

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283 Mendeley
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15 CiteULike
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2 Connotea
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Title
Computational prediction of transcription-factor binding site locations
Published in
Genome Biology, December 2003
DOI 10.1186/gb-2003-5-1-201
Pubmed ID
Authors

Martha L Bulyk

Abstract

Identifying genomic locations of transcription-factor binding sites, particularly in higher eukaryotic genomes, has been an enormous challenge. Various experimental and computational approaches have been used to detect these sites; methods involving computational comparisons of related genomes have been particularly successful.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 5%
Germany 4 1%
Spain 4 1%
United Kingdom 3 1%
France 2 <1%
Chile 1 <1%
Netherlands 1 <1%
Australia 1 <1%
Brazil 1 <1%
Other 9 3%
Unknown 244 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 28%
Researcher 70 25%
Professor > Associate Professor 26 9%
Student > Master 26 9%
Student > Bachelor 18 6%
Other 38 13%
Unknown 27 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 154 54%
Biochemistry, Genetics and Molecular Biology 48 17%
Computer Science 21 7%
Engineering 6 2%
Neuroscience 4 1%
Other 14 5%
Unknown 36 13%
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 19 December 2016.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#36,423
of 143,716 outputs
Outputs of similar age from Genome Biology
#7
of 18 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 143,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.