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CryGetter: a tool to automate retrieval and analysis of Cry protein data

Overview of attention for article published in BMC Bioinformatics, August 2016
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Title
CryGetter: a tool to automate retrieval and analysis of Cry protein data
Published in
BMC Bioinformatics, August 2016
DOI 10.1186/s12859-016-1207-2
Pubmed ID
Authors

David Buzatto, Suzelei de Castro França, Sônia Marli Zingaretti

Abstract

For many years, the use of chemical agents to control crop pests has been degrading the environment, bringing problems to humans and all living things. An alternative to deal with the pests is the use of biopesticides, biological agents capable of controlling these harmful organisms. One kind of biopesticide is Bacillus thuringiensis, a Gram-positive bacterium that synthesizes a protein that, when ingested by the pests, kills them and does not harm other species. Since the economical importance of Bacillus thuringiensis and its proteins significance, this work presents a software tool, called CryGetter, that is capable of retrieving data related to these proteins, store it and present it in a user friendly manner. The tool also aims to align the protein sequences and generate reports containing some statistical data concerning the alignments that were made. CryGetter was created to help researchers of Bacillus thuringiensis and its proteins to speed up their data retrieval and analysis, allowing them to generate more accurate results. In this sense, the tool circumvents the error prone task of manually getting all the necessary data and processing them in various software systems to get the same result as CryGetter gets in a unique semiautomatic environment.

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The data shown below were collected from the profiles of 2 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Student > Ph. D. Student 4 19%
Other 2 10%
Student > Bachelor 2 10%
Student > Master 2 10%
Other 2 10%
Unknown 5 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 52%
Biochemistry, Genetics and Molecular Biology 3 14%
Social Sciences 2 10%
Immunology and Microbiology 1 5%
Computer Science 1 5%
Other 0 0%
Unknown 3 14%
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 31 August 2016.
All research outputs
#17,813,370
of 22,884,315 outputs
Outputs from BMC Bioinformatics
#5,949
of 7,298 outputs
Outputs of similar age
#243,677
of 336,882 outputs
Outputs of similar age from BMC Bioinformatics
#89
of 136 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,298 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 13th percentile – i.e., 13% 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 336,882 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.