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Attention Score in Context
Title |
Bioinformatic characterisation of genes encoding cell wall degrading enzymes in the Phytophthora parasitica genome
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Published in |
BMC Genomics, September 2014
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DOI | 10.1186/1471-2164-15-785 |
Pubmed ID | |
Authors |
Leila M Blackman, Darren P Cullerne, Adrienne R Hardham |
Abstract |
A critical aspect of plant infection by the majority of pathogens is penetration of the plant cell wall. This process requires the production and secretion of a broad spectrum of pathogen enzymes that target and degrade the many complex polysaccharides in the plant cell wall. As a necessary framework for a study of the expression of cell wall degrading enzymes (CWDEs) produced by the broad host range phytopathogen, Phytophthora parasitica, we have conducted an in-depth bioinformatics analysis of the entire complement of genes encoding CWDEs in this pathogen's genome. |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Mexico | 1 | <1% |
Unknown | 108 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 25% |
Researcher | 19 | 17% |
Student > Master | 12 | 11% |
Student > Doctoral Student | 5 | 5% |
Professor | 4 | 4% |
Other | 16 | 15% |
Unknown | 27 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 45 | 41% |
Biochemistry, Genetics and Molecular Biology | 23 | 21% |
Environmental Science | 2 | 2% |
Unspecified | 2 | 2% |
Medicine and Dentistry | 2 | 2% |
Other | 7 | 6% |
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 15 September 2014.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from BMC Genomics
#8,135
of 11,244 outputs
Outputs of similar age
#172,710
of 250,306 outputs
Outputs of similar age from BMC Genomics
#198
of 286 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 22nd percentile – i.e., 22% 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 250,306 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 286 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.