↓ Skip to main content

The UCSC Genome Browser Database: update 2009

Overview of attention for article published in Nucleic Acids Research, November 2008
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
1 X user
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
326 Dimensions

Readers on

mendeley
152 Mendeley
citeulike
7 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The UCSC Genome Browser Database: update 2009
Published in
Nucleic Acids Research, November 2008
DOI 10.1093/nar/gkn875
Pubmed ID
Authors

R. M. Kuhn, D. Karolchik, A. S. Zweig, T. Wang, K. E. Smith, K. R. Rosenbloom, B. Rhead, B. J. Raney, A. Pohl, M. Pheasant, L. Meyer, F. Hsu, A. S. Hinrichs, R. A. Harte, B. Giardine, P. Fujita, M. Diekhans, T. Dreszer, H. Clawson, G. P. Barber, D. Haussler, W. J. Kent

Abstract

The UCSC Genome Browser Database (GBD, http://genome.ucsc.edu) is a publicly available collection of genome assembly sequence data and integrated annotations for a large number of organisms, including extensive comparative-genomic resources. In the past year, 13 new genome assemblies have been added, including two important primate species, orangutan and marmoset, bringing the total to 46 assemblies for 24 different vertebrates and 39 assemblies for 22 different invertebrate animals. The GBD datasets may be viewed graphically with the UCSC Genome Browser, which uses a coordinate-based display system allowing users to juxtapose a wide variety of data. These data include all mRNAs from GenBank mapped to all organisms, RefSeq alignments, gene predictions, regulatory elements, gene expression data, repeats, SNPs and other variation data, as well as pairwise and multiple-genome alignments. A variety of other bioinformatics tools are also provided, including BLAT, the Table Browser, the Gene Sorter, the Proteome Browser, VisiGene and Genome Graphs.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 9%
United Kingdom 4 3%
France 3 2%
Spain 3 2%
Russia 2 1%
Israel 1 <1%
Australia 1 <1%
Japan 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 123 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 32%
Student > Ph. D. Student 36 24%
Professor > Associate Professor 16 11%
Other 11 7%
Student > Master 10 7%
Other 19 13%
Unknown 11 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 51%
Biochemistry, Genetics and Molecular Biology 28 18%
Computer Science 9 6%
Medicine and Dentistry 9 6%
Immunology and Microbiology 3 2%
Other 12 8%
Unknown 14 9%
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 23 September 2022.
All research outputs
#7,355,485
of 25,371,288 outputs
Outputs from Nucleic Acids Research
#12,215
of 27,546 outputs
Outputs of similar age
#32,957
of 104,452 outputs
Outputs of similar age from Nucleic Acids Research
#94
of 210 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 27,546 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 54% 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 104,452 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 66% of its contemporaries.
We're also able to compare this research output to 210 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 52% of its contemporaries.