↓ Skip to main content

SPAI: an interactive platform for indel analysis

Overview of attention for article published in BMC Genomics, August 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
10 Mendeley
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
SPAI: an interactive platform for indel analysis
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2824-x
Pubmed ID
Authors

Mohammad Shabbir Hasan, Liqing Zhang

Abstract

Insertions and Deletions (Indels) are the most common form of structural variation in human genome. Indels not only contribute to genetic diversity but also cause diseases. Therefore assessing indels in human genome has become an interesting topic to the research community. This increasing interest on indel calling research has resulted into the development of a good number of indel calling tools. However, all of these tools are command line based and require expertise from Computer Science (CS) to execute them which makes it challenging for researchers from non-CS background. In this paper, we describe an interactive platform named SPAI which stands for Single Platform for Analyzing Indels. Being a Graphical User Interface (GUI) tool, SPAI facilitates users to run several popular indel calling tools and perform several analyses on the indel calling results without knowing any command line programming. SPAI is written in Java and tested in Linux operating system.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Researcher 1 10%
Student > Postgraduate 1 10%
Student > Master 1 10%
Unknown 3 30%
Readers by discipline Count As %
Computer Science 3 30%
Biochemistry, Genetics and Molecular Biology 2 20%
Agricultural and Biological Sciences 1 10%
Medicine and Dentistry 1 10%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 September 2016.
All research outputs
#18,469,995
of 22,886,568 outputs
Outputs from BMC Genomics
#8,197
of 10,668 outputs
Outputs of similar age
#258,295
of 337,459 outputs
Outputs of similar age from BMC Genomics
#208
of 279 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,668 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 337,459 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.