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APTE: identification of indirect read-out A-DNA promoter elements in genomes

Overview of attention for article published in BMC Bioinformatics, August 2014
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Mentioned by

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2 tweeters

Citations

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4 Dimensions

Readers on

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17 Mendeley
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2 CiteULike
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Title
APTE: identification of indirect read-out A-DNA promoter elements in genomes
Published in
BMC Bioinformatics, August 2014
DOI 10.1186/1471-2105-15-288
Pubmed ID
Authors

David C Whitley, Valeria Runfola, Peter Cary, Liliya Nazlamova, Matt Guille, Garry Scarlett

Abstract

Transcriptional regulation is normally based on the recognition by a transcription factor of a defined base sequence in a process of direct read-out. However, the nucleic acid secondary and tertiary structure can also act as a recognition site for the transcription factor in a process known as indirect read-out, although this is much less understood. We have previously identified such a transcriptional control mechanism in early Xenopus development where the interaction of the transcription factor ilf3 and the gata2 promoter requires the presence of both an unusual A-form DNA structure and a CCAAT sequence. Rapid identification of such promoters elsewhere in the Xenopus and other genomes would provide insight into a less studied area of gene regulation, although currently there are few tools to analyse genomes in such ways.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Bachelor 3 18%
Researcher 3 18%
Student > Postgraduate 2 12%
Professor 1 6%
Other 1 6%
Unknown 3 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 35%
Agricultural and Biological Sciences 6 35%
Computer Science 2 12%
Unknown 3 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 August 2014.
All research outputs
#11,069,894
of 14,573,111 outputs
Outputs from BMC Bioinformatics
#4,221
of 5,420 outputs
Outputs of similar age
#124,177
of 200,729 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 6 outputs
Altmetric has tracked 14,573,111 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,420 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 16th percentile – i.e., 16% 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 200,729 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.