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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
Iain Milne, Gordon Stephen, Micha Bayer, Peter J A Cock, Leighton Pritchard, Linda Cardle, Paul D Shaw, David 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 [email protected]. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 27% |
| France | 3 | 27% |
| Germany | 2 | 18% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 625 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 5 | <1% |
| Australia | 5 | <1% |
| United States | 5 | <1% |
| Spain | 4 | <1% |
| Canada | 4 | <1% |
| United Kingdom | 4 | <1% |
| Germany | 2 | <1% |
| Mexico | 2 | <1% |
| Czechia | 2 | <1% |
| Other | 14 | 2% |
| Unknown | 578 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 143 | 23% |
| Student > Ph. D. Student | 139 | 22% |
| Student > Master | 76 | 12% |
| Student > Bachelor | 65 | 10% |
| Student > Doctoral Student | 28 | 4% |
| Other | 90 | 14% |
| Unknown | 84 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 292 | 47% |
| Biochemistry, Genetics and Molecular Biology | 131 | 21% |
| Computer Science | 22 | 4% |
| Immunology and Microbiology | 17 | 3% |
| Environmental Science | 16 | 3% |
| Other | 52 | 8% |
| Unknown | 95 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 08 November 2023.
All research outputs
#1,474,837
of 26,017,215 outputs
Outputs from Briefings in Bioinformatics
#111
of 2,954 outputs
Outputs of similar age
#7,787
of 176,697 outputs
Outputs of similar age from Briefings in Bioinformatics
#4
of 18 outputs
Altmetric has tracked 26,017,215 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 2,954 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 96% 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 176,697 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 95% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.