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Mendeley readers
Attention Score in Context
| Title |
The CAZyome of Phytophthora spp.: A comprehensive analysis of the gene complement coding for carbohydrate-active enzymes in species of the genus Phytophthora
|
|---|---|
| Published in |
BMC Genomics, September 2010
|
| DOI | 10.1186/1471-2164-11-525 |
| Pubmed ID | |
| Authors |
Manuel D Ospina-Giraldo, John G Griffith, Emma W Laird, Christina Mingora |
| Abstract |
Enzymes involved in carbohydrate metabolism include Carbohydrate esterases (CE), Glycoside hydrolases (GH), Glycosyl transferases (GT), and Polysaccharide lyases (PL), commonly referred to as carbohydrate-active enzymes (CAZymes). The CE, GH, and PL superfamilies are also known as cell wall degrading enzymes (CWDE) due to their role in the disintegration of the plant cell wall by bacterial and fungal pathogens. In Phytophthora infestans, penetration of the plant cells occurs through a specialized hyphal structure called appressorium; however, it is likely that members of the genus Phytophthora also use CWDE for invasive growth because hyphal forces are below the level of tensile strength exhibited by the plant cell wall. Because information regarding the frequency and distribution of CAZyme coding genes in Phytophthora is currently unknown, we have scanned the genomes of P. infestans, P. sojae, and P. ramorum for the presence of CAZyme-coding genes using a homology-based approach and compared the gene collinearity in the three genomes. In addition, we have tested the expression of several genes coding for CE in cultures grown in vitro. |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| Germany | 1 | 1% |
| France | 1 | 1% |
| Unknown | 92 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 30% |
| Researcher | 19 | 20% |
| Student > Doctoral Student | 8 | 8% |
| Student > Master | 7 | 7% |
| Student > Bachelor | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 18 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 57% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Unspecified | 2 | 2% |
| Arts and Humanities | 1 | 1% |
| Chemical Engineering | 1 | 1% |
| Other | 6 | 6% |
| Unknown | 18 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 2012.
All research outputs
#4,206,149
of 25,374,647 outputs
Outputs from BMC Genomics
#1,524
of 11,244 outputs
Outputs of similar age
#18,253
of 107,943 outputs
Outputs of similar age from BMC Genomics
#11
of 55 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 107,943 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.