| Title |
Whole Genome Sequencing—Implications for Infection Prevention and Outbreak Investigations
|
|---|---|
| Published in |
Current Infectious Disease Reports, March 2017
|
| DOI | 10.1007/s11908-017-0570-0 |
| Pubmed ID | |
| Authors |
Kyle J. Popovich, Evan S. Snitkin |
| Abstract |
Whole genome sequencing (WGS) is a laboratory method that has emerged as a promising tool for epidemiologic investigations. Genomic epidemiology approaches have been utilized in outbreak settings, community settings, within acute care hospitals, and across healthcare facilities to better understand transmission and spread of potential pathogens. These studies have highlighted how essential robust epidemiologic data is in these analyses as well as how results can be translated into clinical practice and infection control and prevention. Existing studies have highlighted both the promise and challenges of using WGS as an epidemiologic tool in a community and healthcare setting and across a region. Costs for performing and interpreting WGS analyses are decreasing, and availability of and experience with WGS analyses in healthcare epidemiology are increasing. With these favorable trends, this laboratory method soon could emerge as the gold standard for epidemiologic evaluations. |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Researcher | 8 | 13% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Bachelor | 6 | 10% |
| Professor | 4 | 7% |
| Other | 12 | 20% |
| Unknown | 13 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 21% |
| Medicine and Dentistry | 12 | 20% |
| Agricultural and Biological Sciences | 8 | 13% |
| Immunology and Microbiology | 7 | 11% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 17 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 09 April 2018.
All research outputs
#6,287,397
of 22,959,818 outputs
Outputs from Current Infectious Disease Reports
#137
of 489 outputs
Outputs of similar age
#101,933
of 307,900 outputs
Outputs of similar age from Current Infectious Disease Reports
#6
of 13 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 489 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 71% of its peers.
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We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.