You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Analysis of gene evolution and metabolic pathways using the Candida Gene Order Browser
|
|---|---|
| Published in |
BMC Genomics, May 2010
|
| DOI | 10.1186/1471-2164-11-290 |
| Pubmed ID | |
| Authors |
David A Fitzpatrick, Peadar O'Gaora, Kevin P Byrne, Geraldine Butler |
| Abstract |
Candida species are the most common cause of opportunistic fungal infection worldwide. Recent sequencing efforts have provided a wealth of Candida genomic data. We have developed the Candida Gene Order Browser (CGOB), an online tool that aids comparative syntenic analyses of Candida species. CGOB incorporates all available Candida clade genome sequences including two Candida albicans isolates (SC5314 and WO-1) and 8 closely related species (Candida dubliniensis, Candida tropicalis, Candida parapsilosis, Lodderomyces elongisporus, Debaryomyces hansenii, Pichia stipitis, Candida guilliermondii and Candida lusitaniae). Saccharomyces cerevisiae is also included as a reference genome. |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Ireland | 2 | 2% |
| United States | 2 | 2% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| China | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 98 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 28% |
| Researcher | 19 | 17% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 12 | 11% |
| Professor | 6 | 6% |
| Other | 15 | 14% |
| Unknown | 12 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 54% |
| Biochemistry, Genetics and Molecular Biology | 18 | 17% |
| Medicine and Dentistry | 5 | 5% |
| Immunology and Microbiology | 3 | 3% |
| Computer Science | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 17 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 01 April 2014.
All research outputs
#3,414,633
of 25,374,647 outputs
Outputs from BMC Genomics
#1,169
of 11,244 outputs
Outputs of similar age
#12,880
of 103,956 outputs
Outputs of similar age from BMC Genomics
#6
of 77 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 86th 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 89% 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 103,956 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 87% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.