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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systematic and searchable classification of cytochrome P450 proteins encoded by fungal and oomycete genomes
|
|---|---|
| Published in |
BMC Genomics, October 2012
|
| DOI | 10.1186/1471-2164-13-525 |
| Pubmed ID | |
| Authors |
Venkatesh Moktali, Jongsun Park, Natalie D Fedorova-Abrams, Bongsoo Park, Jaeyoung Choi, Yong-Hwan Lee, Seogchan Kang |
| Abstract |
Cytochrome P450 proteins (CYPs) play diverse and pivotal roles in fungal metabolism and adaptation to specific ecological niches. Fungal genomes encode extremely variable "CYPomes" ranging from one to more than 300 CYPs. Despite the rapid growth of sequenced fungal and oomycete genomes and the resulting influx of predicted CYPs, the vast majority of CYPs remain functionally uncharacterized. To facilitate the curation and functional and evolutionary studies of CYPs, we previously developed Fungal Cytochrome P450 Database (FCPD), which included CYPs from 70 fungal and oomycete species. Here we present a new version of FCPD (1.2) with more data and an improved classification scheme. |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| France | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Finland | 1 | <1% |
| Mexico | 1 | <1% |
| India | 1 | <1% |
| Unknown | 129 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 21% |
| Student > Ph. D. Student | 23 | 17% |
| Student > Master | 23 | 17% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 26 | 19% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 44% |
| Biochemistry, Genetics and Molecular Biology | 33 | 24% |
| Environmental Science | 4 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Computer Science | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 23 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 18 July 2020.
All research outputs
#4,420,861
of 22,679,690 outputs
Outputs from BMC Genomics
#1,823
of 10,613 outputs
Outputs of similar age
#32,170
of 172,536 outputs
Outputs of similar age from BMC Genomics
#27
of 131 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,613 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 172,536 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 81% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.