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CottonFGD: an integrated functional genomics database for cotton

Overview of attention for article published in BMC Plant Biology, June 2017
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2 tweeters

Citations

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74 Dimensions

Readers on

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Title
CottonFGD: an integrated functional genomics database for cotton
Published in
BMC Plant Biology, June 2017
DOI 10.1186/s12870-017-1039-x
Pubmed ID
Authors

Tao Zhu, Chengzhen Liang, Zhigang Meng, Guoqing Sun, Zhaoghong Meng, Sandui Guo, Rui Zhang

Abstract

Cotton (Gossypium spp.) is the most important fiber and oil crop in the world. With the emergence of huge -omics data sets, it is essential to have an integrated functional genomics database that allows worldwide users to quickly and easily fetch and visualize genomic information. Currently available cotton-related databases have some weakness in integrating multiple kinds of -omics data from multiple Gossypium species. Therefore, it is necessary to establish an integrated functional genomics database for cotton. We developed CottonFGD (Cotton Functional Genomic Database, https://cottonfgd.org ), an integrated database that includes genomic sequences, gene structural and functional annotations, genetic marker data, transcriptome data, and population genome resequencing data for all four of the sequenced Gossypium species. It consists of three interconnected modules: search, profile, and analysis. These modules make CottonFGD enable both single gene review and batch analysis with multiple kinds of -omics data and multiple species. CottonFGD also includes additional pages for data statistics, bulk data download, and a detailed user manual. Equipped with specialized functional modules and modernized visualization tools, and populated with multiple kinds of -omics data, CottonFGD provides a quick and easy-to-use data analysis platform for cotton researchers worldwide.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 17%
Student > Doctoral Student 5 17%
Student > Ph. D. Student 4 14%
Researcher 3 10%
Student > Master 3 10%
Other 5 17%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 48%
Biochemistry, Genetics and Molecular Biology 6 21%
Immunology and Microbiology 1 3%
Chemistry 1 3%
Unknown 7 24%

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 10 June 2017.
All research outputs
#9,080,344
of 11,342,318 outputs
Outputs from BMC Plant Biology
#900
of 1,363 outputs
Outputs of similar age
#192,424
of 267,588 outputs
Outputs of similar age from BMC Plant Biology
#4
of 5 outputs
Altmetric has tracked 11,342,318 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 1,363 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 20th percentile – i.e., 20% 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 267,588 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% 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.