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Attention Score in Context
Chapter title |
Protocol of Phytophthora capsici Transformation Using the CRISPR-Cas9 System
|
---|---|
Chapter number | 17 |
Book title |
Plant Pathogenic Fungi and Oomycetes
|
Published in |
Methods in molecular biology, September 2018
|
DOI | 10.1007/978-1-4939-8724-5_17 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8723-8, 978-1-4939-8724-5
|
Authors |
Zhiwen Wang, Brett M. Tyler, Xili Liu, Wang, Zhiwen, Tyler, Brett M., Liu, Xili |
Abstract |
Phytophthora capsici is an important plant pathogen, which causes significant economic losses on multiple vegetable crops worldwide. It is an ideal model pathogen to study the role of important genes, plant-pathogen interactions, and fungicide resistance mechanisms etc. due to its wide range of hosts and genetic diversity. A more efficient gene editing tool is required to do these studies. Here, we describe a detailed experimental procedure using the CRISPR-Cas9 system to edit genes of interest in P. capsici, which has been proven to be an accurate and efficient gene editing method in P. capsici. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 22% |
Researcher | 3 | 17% |
Professor | 2 | 11% |
Student > Bachelor | 2 | 11% |
Student > Postgraduate | 1 | 6% |
Other | 0 | 0% |
Unknown | 6 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 56% |
Biochemistry, Genetics and Molecular Biology | 2 | 11% |
Engineering | 1 | 6% |
Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 November 2018.
All research outputs
#13,550,758
of 23,102,082 outputs
Outputs from Methods in molecular biology
#3,627
of 13,208 outputs
Outputs of similar age
#169,816
of 335,873 outputs
Outputs of similar age from Methods in molecular biology
#62
of 247 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 72% 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 335,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 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 74% of its contemporaries.