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Transcriptomic dissection of the rice – Burkholderia glumae interaction

Overview of attention for article published in BMC Genomics, September 2014
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Title
Transcriptomic dissection of the rice – Burkholderia glumae interaction
Published in
BMC Genomics, September 2014
DOI 10.1186/1471-2164-15-755
Pubmed ID
Authors

Zenaida V Magbanua, Mark Arick, Teresia Buza, Chuan-Yu Hsu, Kurt C Showmaker, Philippe Chouvarine, Peng Deng, Daniel G Peterson, Shien Lu

Abstract

Bacterial panicle blight caused by the bacterium Burkholderia glumae is an emerging disease of rice in the United States. Not much is known about this disease, the disease cycle or any source of disease resistance. To understand the interaction between rice and Burkholderia glumae, we used transcriptomics via next-generation sequencing (RNA-Seq) and bioinformatics to identify differentially expressed transcripts between resistant and susceptible interactions and formulate a model for rice resistance to the disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
India 1 2%
Unknown 64 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 20%
Researcher 11 17%
Student > Ph. D. Student 9 14%
Student > Doctoral Student 7 11%
Student > Bachelor 6 9%
Other 7 11%
Unknown 13 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 55%
Biochemistry, Genetics and Molecular Biology 12 18%
Veterinary Science and Veterinary Medicine 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Immunology and Microbiology 1 2%
Other 2 3%
Unknown 13 20%
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 29 May 2015.
All research outputs
#15,557,505
of 23,881,329 outputs
Outputs from BMC Genomics
#6,304
of 10,793 outputs
Outputs of similar age
#133,561
of 240,212 outputs
Outputs of similar age from BMC Genomics
#102
of 200 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% 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 240,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.