| Title |
Diagnosis of Fatal Human Case of St. Louis Encephalitis Virus Infection by Metagenomic Sequencing, California, 2016
|
|---|---|
| Published in |
Emerging Infectious Diseases, October 2017
|
| DOI | 10.3201/eid2310.161986 |
| Pubmed ID | |
| Authors |
Charles Y. Chiu, Lark L. Coffey, Jamie Murkey, Kelly Symmes, Hannah A. Sample, Michael R. Wilson, Samia N. Naccache, Shaun Arevalo, Sneha Somasekar, Scot Federman, Doug Stryke, Paul Vespa, Gary Schiller, Sharon Messenger, Romney Humphries, Steve Miller, Jeffrey D. Klausner |
| Abstract |
We used unbiased metagenomic next-generation sequencing to diagnose a fatal case of meningoencephalitis caused by St. Louis encephalitis virus in a patient from California in September 2016. This case is associated with the recent 2015-2016 reemergence of this virus in the southwestern United States. |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 2 | 18% |
| United States | 1 | 9% |
| Unknown | 8 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 17% |
| Student > Bachelor | 13 | 17% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 6 | 8% |
| Other | 5 | 7% |
| Other | 9 | 12% |
| Unknown | 21 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 19% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Immunology and Microbiology | 7 | 9% |
| Agricultural and Biological Sciences | 7 | 9% |
| Mathematics | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 26 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 08 July 2023.
All research outputs
#979,742
of 25,711,518 outputs
Outputs from Emerging Infectious Diseases
#1,139
of 9,783 outputs
Outputs of similar age
#20,080
of 332,240 outputs
Outputs of similar age from Emerging Infectious Diseases
#14
of 119 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one has done well, scoring higher than 88% 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 332,240 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.