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Mendeley readers
Attention Score in Context
Title |
Transcriptomic dissection of the rice – Burkholderia glumae interaction
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Published in |
BMC Genomics, September 2014
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Scientists | 1 | 25% |
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
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.