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JASPAR 2016: a major expansion and update of the open-access database of transcription factor binding profiles

Overview of attention for article published in Nucleic Acids Research, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
26 X users
wikipedia
2 Wikipedia pages

Citations

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939 Dimensions

Readers on

mendeley
511 Mendeley
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2 CiteULike
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Title
JASPAR 2016: a major expansion and update of the open-access database of transcription factor binding profiles
Published in
Nucleic Acids Research, November 2015
DOI 10.1093/nar/gkv1176
Pubmed ID
Authors

Anthony Mathelier, Oriol Fornes, David J. Arenillas, Chih-yu Chen, Grégoire Denay, Jessica Lee, Wenqiang Shi, Casper Shyr, Ge Tan, Rebecca Worsley-Hunt, Allen W. Zhang, François Parcy, Boris Lenhard, Albin Sandelin, Wyeth W. Wasserman

Abstract

JASPAR (http://jaspar.genereg.net) is an open-access database storing curated, non-redundant transcription factor (TF) binding profiles representing transcription factor binding preferences as position frequency matrices for multiple species in six taxonomic groups. For this 2016 release, we expanded the JASPAR CORE collection with 494 new TF binding profiles (315 in vertebrates, 11 in nematodes, 3 in insects, 1 in fungi and 164 in plants) and updated 59 profiles (58 in vertebrates and 1 in fungi). The introduced profiles represent an 83% expansion and 10% update when compared to the previous release. We updated the structural annotation of the TF DNA binding domains (DBDs) following a published hierarchical structural classification. In addition, we introduced 130 transcription factor flexible models trained on ChIP-seq data for vertebrates, which capture dinucleotide dependencies within TF binding sites. This new JASPAR release is accompanied by a new web tool to infer JASPAR TF binding profiles recognized by a given TF protein sequence. Moreover, we provide the users with a Ruby module complementing the JASPAR API to ease programmatic access and use of the JASPAR collection of profiles. Finally, we provide the JASPAR2016 R/Bioconductor data package with the data of this release.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 511 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 <1%
Canada 3 <1%
France 2 <1%
United States 2 <1%
Denmark 2 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Czechia 1 <1%
Hungary 1 <1%
Other 4 <1%
Unknown 491 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 144 28%
Researcher 105 21%
Student > Master 68 13%
Student > Bachelor 37 7%
Student > Doctoral Student 30 6%
Other 68 13%
Unknown 59 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 182 36%
Biochemistry, Genetics and Molecular Biology 165 32%
Medicine and Dentistry 22 4%
Computer Science 21 4%
Neuroscience 12 2%
Other 32 6%
Unknown 77 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 29 September 2023.
All research outputs
#1,548,143
of 25,067,172 outputs
Outputs from Nucleic Acids Research
#1,197
of 27,615 outputs
Outputs of similar age
#22,675
of 291,515 outputs
Outputs of similar age from Nucleic Acids Research
#32
of 427 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,615 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 95% 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 291,515 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 427 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.