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The UCSC Genome Browser database: 2017 update

Overview of attention for article published in Nucleic Acids Research, January 2016
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
12 X users

Citations

dimensions_citation
317 Dimensions

Readers on

mendeley
21 Mendeley
citeulike
4 CiteULike
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Title
The UCSC Genome Browser database: 2017 update
Published in
Nucleic Acids Research, January 2016
DOI 10.1093/nar/gkw1134
Pubmed ID
Authors

Cath Tyner, Galt P. Barber, Jonathan Casper, Hiram Clawson, Mark Diekhans, Christopher Eisenhart, Clayton M. Fischer, David Gibson, Jairo Navarro Gonzalez, Luvina Guruvadoo, Maximilian Haeussler, Steve Heitner, Angie S. Hinrichs, Donna Karolchik, Brian T. Lee, Christopher M. Lee, Parisa Nejad, Brian J. Raney, Kate R. Rosenbloom, Matthew L. Speir, Chris Villarreal, John Vivian, Ann S. Zweig, David Haussler, Robert M. Kuhn, W. James Kent

Abstract

Since its 2001 debut, the University of California, Santa Cruz (UCSC) Genome Browser (http://genome.ucsc.edu/) team has provided continuous support to the international genomics and biomedical communities through a web-based, open source platform designed for the fast, scalable display of sequence alignments and annotations landscaped against a vast collection of quality reference genome assemblies. The browser's publicly accessible databases are the backbone of a rich, integrated bioinformatics tool suite that includes a graphical interface for data queries and downloads, alignment programs, command-line utilities and more. This year's highlights include newly designed home and gateway pages; a new 'multi-region' track display configuration for exon-only, gene-only and custom regions visualization; new genome browsers for three species (brown kiwi, crab-eating macaque and Malayan flying lemur); eight updated genome assemblies; extended support for new data types such as CRAM, RNA-seq expression data and long-range chromatin interaction pairs; and the unveiling of a new supported mirror site in Japan.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 10%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Ph. D. Student 4 19%
Student > Bachelor 2 10%
Other 2 10%
Professor > Associate Professor 2 10%
Other 2 10%
Unknown 4 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 38%
Biochemistry, Genetics and Molecular Biology 5 24%
Neuroscience 2 10%
Design 1 5%
Unknown 5 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 26 April 2017.
All research outputs
#1,560,227
of 24,514,423 outputs
Outputs from Nucleic Acids Research
#1,218
of 27,178 outputs
Outputs of similar age
#27,352
of 403,513 outputs
Outputs of similar age from Nucleic Acids Research
#28
of 358 outputs
Altmetric has tracked 24,514,423 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,178 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 403,513 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 93% of its contemporaries.
We're also able to compare this research output to 358 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 92% of its contemporaries.