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Mendeley readers
Attention Score in Context
Title |
Characterization of necrosis-inducing NLP proteins in Phytophthora capsici
|
---|---|
Published in |
BMC Plant Biology, May 2014
|
DOI | 10.1186/1471-2229-14-126 |
Pubmed ID | |
Authors |
Bao-Zhen Feng, Xiao-Ping Zhu, Li Fu, Rong-Fei Lv, Dylan Storey, Paul Tooley, Xiu-Guo Zhang |
Abstract |
Effector proteins function not only as toxins to induce plant cell death, but also enable pathogens to suppress or evade plant defense responses. NLP-like proteins are considered to be effector proteins, and they have been isolated from bacteria, fungi, and oomycete plant pathogens. There is increasing evidence that NLPs have the ability to induce cell death and ethylene accumulation in plants. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | <1% |
Unknown | 111 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 22% |
Researcher | 16 | 14% |
Student > Doctoral Student | 10 | 9% |
Student > Bachelor | 10 | 9% |
Student > Master | 9 | 8% |
Other | 18 | 16% |
Unknown | 24 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 61 | 54% |
Biochemistry, Genetics and Molecular Biology | 16 | 14% |
Environmental Science | 1 | <1% |
Unspecified | 1 | <1% |
Nursing and Health Professions | 1 | <1% |
Other | 3 | 3% |
Unknown | 29 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 May 2014.
All research outputs
#15,300,431
of 22,755,127 outputs
Outputs from BMC Plant Biology
#1,481
of 3,233 outputs
Outputs of similar age
#133,937
of 227,621 outputs
Outputs of similar age from BMC Plant Biology
#19
of 49 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,233 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 42nd percentile – i.e., 42% 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 227,621 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 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 57% of its contemporaries.