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Flanking sequence context-dependent transcription factor binding in early Drosophila development

Overview of attention for article published in BMC Bioinformatics, October 2013
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2 X users

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29 Mendeley
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Title
Flanking sequence context-dependent transcription factor binding in early Drosophila development
Published in
BMC Bioinformatics, October 2013
DOI 10.1186/1471-2105-14-298
Pubmed ID
Authors

Jessica L Stringham, Adam S Brown, Robert A Drewell, Jacqueline M Dresch

Abstract

Gene expression in the Drosophila embryo is controlled by functional interactions between a large network of protein transcription factors (TFs) and specific sequences in DNA cis-regulatory modules (CRMs). The binding site sequences for any TF can be experimentally determined and represented in a position weight matrix (PWM). PWMs can then be used to predict the location of TF binding sites in other regions of the genome, although there are limitations to this approach as currently implemented.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 38%
Researcher 8 28%
Professor 3 10%
Student > Bachelor 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 1 3%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 41%
Agricultural and Biological Sciences 10 34%
Arts and Humanities 1 3%
Chemical Engineering 1 3%
Computer Science 1 3%
Other 2 7%
Unknown 2 7%
Attention Score in Context

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 23 October 2013.
All research outputs
#15,330,390
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#5,139
of 7,400 outputs
Outputs of similar age
#125,103
of 209,255 outputs
Outputs of similar age from BMC Bioinformatics
#60
of 99 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% 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 209,255 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.