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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Visualizing the Movement of Magnaporthe oryzae Effector Proteins in Rice Cells During Infection
|
|---|---|
| Chapter number | 9 |
| Book title |
Plant Pathogenic Fungi and Oomycetes
|
| Published in |
Methods in molecular biology, September 2018
|
| DOI | 10.1007/978-1-4939-8724-5_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8723-8, 978-1-4939-8724-5
|
| Authors |
Kiersun Jones, Chang Hyun Khang, Jones, Kiersun, Khang, Chang Hyun |
| Abstract |
During biotrophy, filamentous pathogens such as the rice blast fungus Magnaporthe oryzae deliver effector proteins into live host cells to facilitate colonization. We describe three complementary assays for visualizing M. oryzae effector translocation into the rice cytoplasm and cell-to-cell movement during infection. Our assays make use of live-cell confocal imaging of optically clear rice sheath cells infected with transgenic strains of M. oryzae that express the fluorescent protein-tagged effector known as PWL2. We highlight several important considerations for the analysis of effector translocation and movement dynamics during infection of host 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 % |
|---|---|---|
| Members of the public | 2 | 100% |
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% |
| Professor | 2 | 11% |
| Unspecified | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 7 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 28% |
| Agricultural and Biological Sciences | 4 | 22% |
| Unspecified | 1 | 6% |
| Psychology | 1 | 6% |
| Unknown | 7 | 39% |
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 06 September 2018.
All research outputs
#14,424,488
of 23,102,082 outputs
Outputs from Methods in molecular biology
#4,242
of 13,208 outputs
Outputs of similar age
#188,538
of 335,873 outputs
Outputs of similar age from Methods in molecular biology
#76
of 247 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 64% 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 40th percentile – i.e., 40% 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 65% of its contemporaries.