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ORegAnno 3.0: a community-driven resource for curated regulatory annotation

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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
16 tweeters
wikipedia
1 Wikipedia page

Readers on

mendeley
52 Mendeley
citeulike
3 CiteULike
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Title
ORegAnno 3.0: a community-driven resource for curated regulatory annotation
Published in
Nucleic Acids Research, November 2015
DOI 10.1093/nar/gkv1203
Pubmed ID
Authors

Robert Lesurf, Kelsy C. Cotto, Grace Wang, Malachi Griffith, Katayoon Kasaian, Steven J. M. Jones, Stephen B. Montgomery, Obi L. Griffith, The Open Regulatory Annotation Consortium

Abstract

The Open Regulatory Annotation database (ORegAnno) is a resource for curated regulatory annotation. It contains information about regulatory regions, transcription factor binding sites, RNA binding sites, regulatory variants, haplotypes, and other regulatory elements. ORegAnno differentiates itself from other regulatory resources by facilitating crowd-sourced interpretation and annotation of regulatory observations from the literature and highly curated resources. It contains a comprehensive annotation scheme that aims to describe both the elements and outcomes of regulatory events. Moreover, ORegAnno assembles these disparate data sources and annotations into a single, high quality catalogue of curated regulatory information. The current release is an update of the database previously featured in the NAR Database Issue, and now contains 1 948 307 records, across 18 species, with a combined coverage of 334 215 080 bp. Complete records, annotation, and other associated data are available for browsing and download at http://www.oreganno.org/.

Twitter Demographics

The data shown below were collected from the profiles of 16 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 2 4%
Germany 1 2%
Mexico 1 2%
Denmark 1 2%
United States 1 2%
Unknown 46 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 37%
Researcher 14 27%
Student > Master 5 10%
Student > Doctoral Student 5 10%
Professor 3 6%
Other 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 54%
Biochemistry, Genetics and Molecular Biology 15 29%
Medicine and Dentistry 4 8%
Computer Science 2 4%
Engineering 2 4%
Other 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 August 2016.
All research outputs
#730,565
of 8,266,357 outputs
Outputs from Nucleic Acids Research
#844
of 10,826 outputs
Outputs of similar age
#33,645
of 295,881 outputs
Outputs of similar age from Nucleic Acids Research
#93
of 483 outputs
Altmetric has tracked 8,266,357 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,826 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 92% 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 295,881 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 483 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.