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Using Tablet for visual exploration of second-generation sequencing data

Overview of attention for article published in Briefings in Bioinformatics, March 2012
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
13 tweeters
patent
4 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
612 Dimensions

Readers on

mendeley
546 Mendeley
citeulike
5 CiteULike
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Title
Using Tablet for visual exploration of second-generation sequencing data
Published in
Briefings in Bioinformatics, March 2012
DOI 10.1093/bib/bbs012
Pubmed ID
Authors

I. Milne, G. Stephen, M. Bayer, P. J. A. Cock, L. Pritchard, L. Cardle, P. D. Shaw, D. Marshall

Abstract

The advent of second-generation sequencing (2GS) has provided a range of significant new challenges for the visualization of sequence assemblies. These include the large volume of data being generated, short-read lengths and different data types and data formats associated with the diversity of new sequencing technologies. This article illustrates how Tablet-a high-performance graphical viewer for visualization of 2GS assemblies and read mappings-plays an important role in the analysis of these data. We present Tablet, and through a selection of use cases, demonstrate its value in quality assurance and scientific discovery, through features such as whole-reference coverage overviews, variant highlighting, paired-end read mark-up, GFF3-based feature tracks and protein translations. We discuss the computing and visualization techniques utilized to provide a rich and responsive graphical environment that enables users to view a range of file formats with ease. Tablet installers can be freely downloaded from http://bioinf.hutton.ac.uk/tablet in 32 or 64-bit versions for Windows, OS X, Linux or Solaris. For further details on the Tablet, contact tablet@hutton.ac.uk.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 546 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
France 5 <1%
Australia 5 <1%
United Kingdom 4 <1%
Spain 4 <1%
Canada 4 <1%
Czechia 2 <1%
Germany 2 <1%
Brazil 2 <1%
Other 15 3%
Unknown 497 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 136 25%
Student > Ph. D. Student 129 24%
Student > Master 73 13%
Student > Bachelor 59 11%
Student > Doctoral Student 24 4%
Other 77 14%
Unknown 48 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 278 51%
Biochemistry, Genetics and Molecular Biology 113 21%
Computer Science 21 4%
Immunology and Microbiology 14 3%
Environmental Science 14 3%
Other 50 9%
Unknown 56 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 02 February 2021.
All research outputs
#1,210,459
of 18,458,381 outputs
Outputs from Briefings in Bioinformatics
#99
of 1,866 outputs
Outputs of similar age
#7,636
of 135,065 outputs
Outputs of similar age from Briefings in Bioinformatics
#2
of 16 outputs
Altmetric has tracked 18,458,381 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 1,866 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 94% 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 135,065 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 94% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.