↓ Skip to main content

A web-based multi-genome synteny viewer for customized data

Overview of attention for article published in BMC Bioinformatics, August 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
5 CiteULike
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
A web-based multi-genome synteny viewer for customized data
Published in
BMC Bioinformatics, August 2012
DOI 10.1186/1471-2105-13-190
Pubmed ID
Authors

Kashi V Revanna, Daniel Munro, Alvin Gao, Chi-Chen Chiu, Anil Pathak, Qunfeng Dong

Abstract

Web-based synteny visualization tools are important for sharing data and revealing patterns of complicated genome conservation and rearrangements. Such tools should allow biologists to upload genomic data for their own analysis. This requirement is critical because individual biologists are generating large amounts of genomic sequences that quickly overwhelm any centralized web resources to collect and display all those data. Recently, we published a web-based synteny viewer, GSV, which was designed to satisfy the above requirement. However, GSV can only compare two genomes at a given time. Extending the functionality of GSV to visualize multiple genomes is important to meet the increasing demand of the research community.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Netherlands 2 3%
Australia 2 3%
Brazil 1 1%
Sweden 1 1%
Germany 1 1%
Argentina 1 1%
Mexico 1 1%
Spain 1 1%
Other 1 1%
Unknown 54 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 38%
Student > Ph. D. Student 12 18%
Student > Master 8 12%
Student > Bachelor 4 6%
Professor > Associate Professor 4 6%
Other 9 13%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 54%
Biochemistry, Genetics and Molecular Biology 13 19%
Computer Science 9 13%
Medicine and Dentistry 3 4%
Unknown 6 9%
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 06 August 2012.
All research outputs
#12,858,389
of 22,673,450 outputs
Outputs from BMC Bioinformatics
#3,778
of 7,247 outputs
Outputs of similar age
#87,378
of 164,813 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 107 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% 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 164,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 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 58% of its contemporaries.