| Title |
From pathogen genomes to host plant processes: the power of plant parasitic oomycetes
|
|---|---|
| Published in |
Genome Biology, June 2013
|
| DOI | 10.1186/gb-2013-14-6-211 |
| Pubmed ID | |
| Authors |
Marina Pais, Joe Win, Kentaro Yoshida, Graham J Etherington, Liliana M Cano, Sylvain Raffaele, Mark J Banfield, Alex Jones, Sophien Kamoun, Diane GO Saunders |
| Abstract |
Recent pathogenomic research on plant parasitic oomycete effector function and plant host responses has resulted in major conceptual advances in plant pathology, which has been possible thanks to the availability of genome sequences. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 5 | 63% |
| Kazakhstan | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 1% |
| Chile | 1 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 136 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 25% |
| Researcher | 34 | 24% |
| Student > Master | 16 | 11% |
| Student > Bachelor | 13 | 9% |
| Professor > Associate Professor | 10 | 7% |
| Other | 23 | 16% |
| Unknown | 10 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 99 | 70% |
| Biochemistry, Genetics and Molecular Biology | 23 | 16% |
| Immunology and Microbiology | 2 | 1% |
| Engineering | 2 | 1% |
| Chemistry | 2 | 1% |
| Other | 5 | 4% |
| Unknown | 9 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 July 2013.
All research outputs
#7,713,861
of 25,373,627 outputs
Outputs from Genome Biology
#3,359
of 4,467 outputs
Outputs of similar age
#62,357
of 207,737 outputs
Outputs of similar age from Genome Biology
#47
of 66 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
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 24th percentile – i.e., 24% 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 207,737 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.