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The Genomic HyperBrowser: inferential genomics at the sequence level

Overview of attention for article published in Genome Biology, December 2010
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
17 CiteULike
connotea
2 Connotea
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Title
The Genomic HyperBrowser: inferential genomics at the sequence level
Published in
Genome Biology, December 2010
DOI 10.1186/gb-2010-11-12-r121
Pubmed ID
Authors

Geir K Sandve, Sveinung Gundersen, Halfdan Rydbeck, Ingrid K Glad, Lars Holden, Marit Holden, Knut Liestøl, Trevor Clancy, Egil Ferkingstad, Morten Johansen, Vegard Nygaard, Eivind Tøstesen, Arnoldo Frigessi, Eivind Hovig

Abstract

The immense increase in the generation of genomic scale data poses an unmet analytical challenge, due to a lack of established methodology with the required flexibility and power. We propose a first principled approach to statistical analysis of sequence-level genomic information. We provide a growing collection of generic biological investigations that query pairwise relations between tracks, represented as mathematical objects, along the genome. The Genomic HyperBrowser implements the approach and is available at http://hyperbrowser.uio.no.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 7%
France 4 3%
Norway 3 2%
Netherlands 2 1%
Germany 1 <1%
Hungary 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Canada 1 <1%
Other 3 2%
Unknown 121 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 35%
Student > Ph. D. Student 34 23%
Student > Master 12 8%
Professor 11 7%
Other 9 6%
Other 21 14%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 59%
Biochemistry, Genetics and Molecular Biology 16 11%
Computer Science 15 10%
Medicine and Dentistry 8 5%
Mathematics 3 2%
Other 6 4%
Unknown 12 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 December 2012.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#58,184
of 192,048 outputs
Outputs of similar age from Genome Biology
#14
of 26 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 192,048 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.