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ORegAnno: an open-access community-driven resource for regulatory annotation

Overview of attention for article published in Nucleic Acids Research, December 2007
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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 (95th percentile)

Mentioned by

blogs
1 blog
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
163 Dimensions

Readers on

mendeley
165 Mendeley
citeulike
10 CiteULike
connotea
2 Connotea
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Title
ORegAnno: an open-access community-driven resource for regulatory annotation
Published in
Nucleic Acids Research, December 2007
DOI 10.1093/nar/gkm967
Pubmed ID
Authors

O. L. Griffith, S. B. Montgomery, B. Bernier, B. Chu, K. Kasaian, S. Aerts, S. Mahony, M. C. Sleumer, M. Bilenky, M. Haeussler, M. Griffith, S. M. Gallo, B. Giardine, B. Hooghe, P. Van Loo, E. Blanco, A. Ticoll, S. Lithwick, E. Portales-Casamar, I. J. Donaldson, G. Robertson, C. Wadelius, P. De Bleser, D. Vlieghe, M. S. Halfon, W. Wasserman, R. Hardison, C. M. Bergman, S. J.M. Jones

Abstract

ORegAnno is an open-source, open-access database and literature curation system for community-based annotation of experimentally identified DNA regulatory regions, transcription factor binding sites and regulatory variants. The current release comprises 30 145 records curated from 922 publications and describing regulatory sequences for over 3853 genes and 465 transcription factors from 19 species. A new feature called the 'publication queue' allows users to input relevant papers from scientific literature as targets for annotation. The queue contains 4438 gene regulation papers entered by experts and another 54 351 identified by text-mining methods. Users can enter or 'check out' papers from the queue for manual curation using a series of user-friendly annotation pages. A typical record entry consists of species, sequence type, sequence, target gene, binding factor, experimental outcome and one or more lines of experimental evidence. An evidence ontology was developed to describe and categorize these experiments. Records are cross-referenced to Ensembl or Entrez gene identifiers, PubMed and dbSNP and can be visualized in the Ensembl or UCSC genome browsers. All data are freely available through search pages, XML data dumps or web services at: http://www.oreganno.org.

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
France 4 2%
United Kingdom 3 2%
Germany 2 1%
Australia 2 1%
Spain 2 1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Greece 1 <1%
Other 6 4%
Unknown 136 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 30%
Student > Ph. D. Student 41 25%
Student > Master 18 11%
Professor > Associate Professor 18 11%
Student > Bachelor 11 7%
Other 27 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 93 56%
Biochemistry, Genetics and Molecular Biology 24 15%
Computer Science 17 10%
Medicine and Dentistry 11 7%
Unspecified 4 2%
Other 16 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 17 April 2018.
All research outputs
#884,484
of 11,954,851 outputs
Outputs from Nucleic Acids Research
#976
of 20,101 outputs
Outputs of similar age
#861,930
of 11,307,358 outputs
Outputs of similar age from Nucleic Acids Research
#964
of 19,942 outputs
Altmetric has tracked 11,954,851 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,101 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 11,307,358 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 19,942 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 95% of its contemporaries.