| Title |
Harnessing Whole Genome Sequencing in Medical Mycology
|
|---|---|
| Published in |
Current Fungal Infection Reports, June 2017
|
| DOI | 10.1007/s12281-017-0276-7 |
| Pubmed ID | |
| Authors |
Christina A. Cuomo |
| Abstract |
Comparative genome sequencing studies of human fungal pathogens enable identification of genes and variants associated with virulence and drug resistance. This review describes current approaches, resources, and advances in applying whole genome sequencing to study clinically important fungal pathogens. Genomes for some important fungal pathogens were only recently assembled, revealing gene family expansions in many species and extreme gene loss in one obligate species. The scale and scope of species sequenced is rapidly expanding, leveraging technological advances to assemble and annotate genomes with higher precision. By using iteratively improved reference assemblies or those generated de novo for new species, recent studies have compared the sequence of isolates representing populations or clinical cohorts. Whole genome approaches provide the resolution necessary for comparison of closely related isolates, for example, in the analysis of outbreaks or sampled across time within a single host. Genomic analysis of fungal pathogens has enabled both basic research and diagnostic studies. The increased scale of sequencing can be applied across populations, and new metagenomic methods allow direct analysis of complex samples. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 21% |
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 8 | 12% |
| Student > Bachelor | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 13 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 22% |
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Medicine and Dentistry | 10 | 15% |
| Immunology and Microbiology | 6 | 9% |
| Environmental Science | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 16 | 24% |
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 15 September 2017.
All research outputs
#3,876,899
of 23,498,099 outputs
Outputs from Current Fungal Infection Reports
#19
of 163 outputs
Outputs of similar age
#68,558
of 318,239 outputs
Outputs of similar age from Current Fungal Infection Reports
#3
of 6 outputs
Altmetric has tracked 23,498,099 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 163 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 88% of its peers.
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We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.