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Annotation of gene function in citrus using gene expression information and co-expression networks

Overview of attention for article published in BMC Plant Biology, July 2014
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  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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38 Dimensions

Readers on

mendeley
73 Mendeley
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1 CiteULike
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Title
Annotation of gene function in citrus using gene expression information and co-expression networks
Published in
BMC Plant Biology, July 2014
DOI 10.1186/1471-2229-14-186
Pubmed ID
Authors

Darren CJ Wong, Crystal Sweetman, Christopher M Ford

Abstract

The genus Citrus encompasses major cultivated plants such as sweet orange, mandarin, lemon and grapefruit, among the world's most economically important fruit crops. With increasing volumes of transcriptomics data available for these species, Gene Co-expression Network (GCN) analysis is a viable option for predicting gene function at a genome-wide scale. GCN analysis is based on a "guilt-by-association" principle whereby genes encoding proteins involved in similar and/or related biological processes may exhibit similar expression patterns across diverse sets of experimental conditions. While bioinformatics resources such as GCN analysis are widely available for efficient gene function prediction in model plant species including Arabidopsis, soybean and rice, in citrus these tools are not yet developed.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Germany 1 1%
France 1 1%
Norway 1 1%
Saudi Arabia 1 1%
Sri Lanka 1 1%
Argentina 1 1%
United States 1 1%
Unknown 66 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Researcher 15 21%
Professor 6 8%
Student > Master 6 8%
Student > Bachelor 5 7%
Other 11 15%
Unknown 11 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 60%
Biochemistry, Genetics and Molecular Biology 7 10%
Computer Science 4 5%
Engineering 3 4%
Medicine and Dentistry 2 3%
Other 1 1%
Unknown 12 16%
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 19 October 2014.
All research outputs
#14,361,221
of 23,452,723 outputs
Outputs from BMC Plant Biology
#1,090
of 3,305 outputs
Outputs of similar age
#116,920
of 228,474 outputs
Outputs of similar age from BMC Plant Biology
#11
of 46 outputs
Altmetric has tracked 23,452,723 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,305 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 228,474 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 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 69% of its contemporaries.