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The UCSC Known Genes

Overview of attention for article published in Bioinformatics, February 2006
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
facebook
1 Facebook page
q&a
1 Q&A thread

Citations

dimensions_citation
406 Dimensions

Readers on

mendeley
253 Mendeley
citeulike
12 CiteULike
connotea
4 Connotea
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Title
The UCSC Known Genes
Published in
Bioinformatics, February 2006
DOI 10.1093/bioinformatics/btl048
Pubmed ID
Authors

F. Hsu, W. J. Kent, H. Clawson, R. M. Kuhn, M. Diekhans, D. Haussler

Abstract

The University of California Santa Cruz (UCSC) Known Genes dataset is constructed by a fully automated process, based on protein data from Swiss-Prot/TrEMBL (UniProt) and the associated mRNA data from Genbank. The detailed steps of this process are described. Extensive cross-references from this dataset to other genomic and proteomic data were constructed. For each known gene, a details page is provided containing rich information about the gene, together with extensive links to other relevant genomic, proteomic and pathway data. As of July 2005, the UCSC Known Genes are available for human, mouse and rat genomes. The Known Genes serves as a foundation to support several key programs: the Genome Browser, Proteome Browser, Gene Sorter and Table Browser offered at the UCSC website. All the associated data files and program source code are also available. They can be accessed at http://genome.ucsc.edu. The genomic coverage of UCSC Known Genes, RefSeq, Ensembl Genes, H-Invitational and CCDS is analyzed. Although UCSC Known Genes offers the highest genomic and CDS coverage among major human and mouse gene sets, more detailed analysis suggests all of them could be further improved.

Mendeley readers

The data shown below were compiled from readership statistics for 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 6%
France 4 2%
Germany 4 2%
United Kingdom 4 2%
Brazil 2 <1%
Italy 2 <1%
China 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Other 2 <1%
Unknown 217 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 70 28%
Student > Ph. D. Student 67 26%
Student > Master 28 11%
Student > Bachelor 17 7%
Professor > Associate Professor 15 6%
Other 47 19%
Unknown 9 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 126 50%
Biochemistry, Genetics and Molecular Biology 58 23%
Computer Science 20 8%
Medicine and Dentistry 19 8%
Engineering 4 2%
Other 14 6%
Unknown 12 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 October 2011.
All research outputs
#408,829
of 3,684,317 outputs
Outputs from Bioinformatics
#705
of 3,727 outputs
Outputs of similar age
#7,121
of 58,214 outputs
Outputs of similar age from Bioinformatics
#19
of 81 outputs
Altmetric has tracked 3,684,317 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,727 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 81% 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 58,214 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 87% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.