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Functional annotation of the transcriptome of Sorghum bicolor in response to osmotic stress and abscisic acid

Overview of attention for article published in BMC Genomics, October 2011
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Mentioned by

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2 X users

Citations

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189 Dimensions

Readers on

mendeley
287 Mendeley
citeulike
4 CiteULike
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Title
Functional annotation of the transcriptome of Sorghum bicolor in response to osmotic stress and abscisic acid
Published in
BMC Genomics, October 2011
DOI 10.1186/1471-2164-12-514
Pubmed ID
Authors

Diana V Dugas, Marcela K Monaco, Andrew Olson, Robert R Klein, Sunita Kumari, Doreen Ware, Patricia E Klein

Abstract

Higher plants exhibit remarkable phenotypic plasticity allowing them to adapt to an extensive range of environmental conditions. Sorghum is a cereal crop that exhibits exceptional tolerance to adverse conditions, in particular, water-limiting environments. This study utilized next generation sequencing (NGS) technology to examine the transcriptome of sorghum plants challenged with osmotic stress and exogenous abscisic acid (ABA) in order to elucidate genes and gene networks that contribute to sorghum's tolerance to water-limiting environments with a long-term aim of developing strategies to improve plant productivity under drought.

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

Geographical breakdown

Country Count As %
Brazil 6 2%
United States 4 1%
Australia 2 <1%
Malaysia 1 <1%
Israel 1 <1%
India 1 <1%
United Kingdom 1 <1%
Colombia 1 <1%
Thailand 1 <1%
Other 3 1%
Unknown 266 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 25%
Researcher 69 24%
Student > Master 37 13%
Student > Postgraduate 18 6%
Professor > Associate Professor 13 5%
Other 37 13%
Unknown 41 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 191 67%
Biochemistry, Genetics and Molecular Biology 21 7%
Environmental Science 4 1%
Engineering 4 1%
Computer Science 3 1%
Other 16 6%
Unknown 48 17%
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 01 November 2016.
All research outputs
#13,356,164
of 22,655,397 outputs
Outputs from BMC Genomics
#4,971
of 10,607 outputs
Outputs of similar age
#85,319
of 139,128 outputs
Outputs of similar age from BMC Genomics
#51
of 100 outputs
Altmetric has tracked 22,655,397 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 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 139,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.