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Saccharomyces genome database provides new regulation data

Overview of attention for article published in Nucleic Acids Research, November 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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2 X users
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1 Wikipedia page

Citations

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60 Dimensions

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66 Mendeley
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Title
Saccharomyces genome database provides new regulation data
Published in
Nucleic Acids Research, November 2013
DOI 10.1093/nar/gkt1158
Pubmed ID
Authors

Maria C. Costanzo, Stacia R. Engel, Edith D. Wong, Paul Lloyd, Kalpana Karra, Esther T. Chan, Shuai Weng, Kelley M. Paskov, Greg R. Roe, Gail Binkley, Benjamin C. Hitz, J. Michael Cherry

Abstract

The Saccharomyces Genome Database (SGD; http://www.yeastgenome.org) is the community resource for genomic, gene and protein information about the budding yeast Saccharomyces cerevisiae, containing a variety of functional information about each yeast gene and gene product. We have recently added regulatory information to SGD and present it on a new tabbed section of the Locus Summary entitled 'Regulation'. We are compiling transcriptional regulator-target gene relationships, which are curated from the literature at SGD or imported, with permission, from the YEASTRACT database. For nearly every S. cerevisiae gene, the Regulation page displays a table of annotations showing the regulators of that gene, and a graphical visualization of its regulatory network. For genes whose products act as transcription factors, the Regulation page also shows a table of their target genes, accompanied by a Gene Ontology enrichment analysis of the biological processes in which those genes participate. We additionally synthesize information from the literature for each transcription factor in a free-text Regulation Summary, and provide other information relevant to its regulatory function, such as DNA binding site motifs and protein domains. All of the regulation data are available for querying, analysis and download via YeastMine, the InterMine-based data warehouse system in use at SGD.

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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
Japan 1 2%
Portugal 1 2%
Denmark 1 2%
Unknown 59 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 33%
Researcher 16 24%
Student > Master 8 12%
Student > Bachelor 4 6%
Professor 3 5%
Other 9 14%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 45%
Biochemistry, Genetics and Molecular Biology 17 26%
Computer Science 4 6%
Engineering 3 5%
Mathematics 1 2%
Other 4 6%
Unknown 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 April 2017.
All research outputs
#6,398,722
of 22,733,113 outputs
Outputs from Nucleic Acids Research
#11,035
of 26,313 outputs
Outputs of similar age
#74,889
of 301,953 outputs
Outputs of similar age from Nucleic Acids Research
#159
of 387 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 26,313 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 56% 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 301,953 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 387 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.