↓ Skip to main content

BLASTPLOT: a PERL module to plot next generation sequencing NCBI-BLAST results

Overview of attention for article published in Source Code for Biology and Medicine, March 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
1 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
BLASTPLOT: a PERL module to plot next generation sequencing NCBI-BLAST results
Published in
Source Code for Biology and Medicine, March 2014
DOI 10.1186/1751-0473-9-7
Pubmed ID
Authors

Jesus Enrique Herrera-Galeano, Kenneth G Frey, Regina Z Cer, Alfred J Mateczun, Kimberly A Bishop-Lilly, Vishwesh P Mokashi

Abstract

The development of Next Generation Sequencing (NGS) during the last decade has created an unprecedented amount of sequencing data, as well as the ability to rapidly sequence specimens of interest. Read-based BLAST analysis of NGS data is a common procedure especially in the case of metagenomic samples. However, coverage is usually not enough to allow for de novo assembly. This type of read-based analysis often creates the question of how the reads that align to the same sequence are distributed. The same question applies to preparation of primers or probes for microarray experiments. Although there are several packages that allow the visualization of DNA segments in relation to a reference, in most cases they require the visualization of one reference at a time and the capture of screen shots for each segment. Such a procedure could be tedious and time consuming. The field is in need of a solution that automates the capture of coverage plots for all the segments of interest.

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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 8%
United States 1 3%
Belgium 1 3%
Brazil 1 3%
Unknown 31 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 38%
Student > Ph. D. Student 9 24%
Student > Master 6 16%
Student > Doctoral Student 2 5%
Lecturer 2 5%
Other 3 8%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 54%
Biochemistry, Genetics and Molecular Biology 5 14%
Computer Science 4 11%
Environmental Science 2 5%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 4 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 May 2014.
All research outputs
#13,406,705
of 22,751,628 outputs
Outputs from Source Code for Biology and Medicine
#64
of 127 outputs
Outputs of similar age
#110,913
of 226,157 outputs
Outputs of similar age from Source Code for Biology and Medicine
#3
of 5 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 48th percentile – i.e., 48% 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 226,157 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.