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Mendeley readers
Attention Score in Context
Chapter title |
Random Insertional Mutagenesis in Fungal Genomes to Identify Virulence Factors
|
---|---|
Chapter number | 31 |
Book title |
Plant Fungal Pathogens
|
Published in |
Methods in molecular biology, January 2012
|
DOI | 10.1007/978-1-61779-501-5_31 |
Pubmed ID | |
Book ISBNs |
978-1-61779-500-8, 978-1-61779-501-5
|
Authors |
Parthasarathy Santhanam, Santhanam P |
Abstract |
Agrobacterium tumefaciens-mediated transformation (ATMT) has become an important tool for functional genomics in fungi. ATMT-based approaches such as random insertional mutagenesis and targeted knockout are widely used for gene functional analysis in plant-pathogen interactions. Here, we describe a protocol for the identification of pathogenicity and virulence genes through random insertional mutagenesis using the fungal wilt pathogen Verticillium dahliae as an example for the protocol. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 35% |
Student > Master | 5 | 25% |
Student > Ph. D. Student | 4 | 20% |
Other | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 0 | 0% |
Unknown | 2 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 65% |
Biochemistry, Genetics and Molecular Biology | 2 | 10% |
Immunology and Microbiology | 2 | 10% |
Nursing and Health Professions | 1 | 5% |
Unknown | 2 | 10% |
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 21 May 2014.
All research outputs
#17,682,134
of 22,701,287 outputs
Outputs from Methods in molecular biology
#7,160
of 13,076 outputs
Outputs of similar age
#191,367
of 244,143 outputs
Outputs of similar age from Methods in molecular biology
#313
of 474 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,076 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 40th percentile – i.e., 40% 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 244,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 474 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.