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The Eukaryotic Promoter Database: expansion of EPDnew and new promoter analysis tools

Overview of attention for article published in Nucleic Acids Research, November 2014
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1 Google+ user

Citations

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247 Dimensions

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166 Mendeley
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1 CiteULike
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Title
The Eukaryotic Promoter Database: expansion of EPDnew and new promoter analysis tools
Published in
Nucleic Acids Research, November 2014
DOI 10.1093/nar/gku1111
Pubmed ID
Authors

René Dreos, Giovanna Ambrosini, Rouayda Cavin Périer, Philipp Bucher

Abstract

We present an update of EPDNew (http://epd.vital-it.ch), a recently introduced new part of the Eukaryotic Promoter Database (EPD) which has been described in more detail in a previous NAR Database Issue. EPD is an old database of experimentally characterized eukaryotic POL II promoters, which are conceptually defined as transcription initiation sites or regions. EPDnew is a collection of automatically compiled, organism-specific promoter lists complementing the old corpus of manually compiled promoter entries of EPD. This new part is exclusively derived from next generation sequencing data from high-throughput promoter mapping experiments. We report on the recent growth of EPDnew, its extension to additional model organisms and its improved integration with other bioinformatics resources developed by our group, in particular the Signal Search Analysis and ChIP-Seq web servers.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
Germany 1 <1%
France 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Unknown 161 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 23%
Student > Master 21 13%
Researcher 20 12%
Student > Bachelor 18 11%
Student > Doctoral Student 15 9%
Other 18 11%
Unknown 35 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 65 39%
Agricultural and Biological Sciences 25 15%
Medicine and Dentistry 13 8%
Computer Science 7 4%
Immunology and Microbiology 5 3%
Other 9 5%
Unknown 42 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 November 2014.
All research outputs
#16,046,765
of 25,373,627 outputs
Outputs from Nucleic Acids Research
#22,489
of 27,550 outputs
Outputs of similar age
#148,880
of 276,320 outputs
Outputs of similar age from Nucleic Acids Research
#279
of 420 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,550 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 276,320 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 420 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.