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Mendeley readers
Attention Score in Context
Title |
Transcriptomics-based screen for genes induced by flagellin and repressed by pathogen effectors identifies a cell wall-associated kinase involved in plant immunity
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Published in |
Genome Biology, December 2013
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DOI | 10.1186/gb-2013-14-12-r139 |
Pubmed ID | |
Authors |
Hernan G Rosli, Yi Zheng, Marina A Pombo, Silin Zhong, Aureliano Bombarely, Zhangjun Fei, Alan Collmer, Gregory B Martin |
Abstract |
Microbe-associated molecular patterns, such as those present in bacterial flagellin, are powerful inducers of the innate immune response in plants. Successful pathogens deliver virulence proteins, termed effectors, into the plant cell where they can interfere with the immune response and promote disease. Engineering the plant immune system to enhance disease resistance requires a thorough understanding of its components. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Cameroon | 1 | 10% |
France | 1 | 10% |
United Kingdom | 1 | 10% |
Unknown | 7 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 90% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Ethiopia | 1 | <1% |
Australia | 1 | <1% |
Italy | 1 | <1% |
Slovenia | 1 | <1% |
Canada | 1 | <1% |
Unknown | 141 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 29% |
Researcher | 26 | 18% |
Student > Master | 20 | 14% |
Student > Doctoral Student | 10 | 7% |
Student > Bachelor | 10 | 7% |
Other | 19 | 13% |
Unknown | 20 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 95 | 64% |
Biochemistry, Genetics and Molecular Biology | 23 | 16% |
Economics, Econometrics and Finance | 2 | 1% |
Environmental Science | 2 | 1% |
Unspecified | 1 | <1% |
Other | 2 | 1% |
Unknown | 23 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 20 May 2023.
All research outputs
#4,835,465
of 25,371,288 outputs
Outputs from Genome Biology
#2,799
of 4,467 outputs
Outputs of similar age
#53,035
of 320,456 outputs
Outputs of similar age from Genome Biology
#75
of 113 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 320,456 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.