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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An approach for differentiating echovirus 30 and Japanese encephalitis virus infections in acute meningitis/encephalitis: a retrospective study of 103 cases in Vietnam
|
|---|---|
| Published in |
Virology Journal, September 2013
|
| DOI | 10.1186/1743-422x-10-280 |
| Pubmed ID | |
| Authors |
Yuki Takamatsu, Leo Uchida, Phan Thi Nga, Kenta Okamoto, Takeshi Nabeshima, Dang Thi Thu Thao, Do Thien Hai, Nguyen Thi Tuyet, Hoang Minh Duc, Le Xuan Luat, Futoshi Hasebe, Kouichi Morita |
| Abstract |
In recent decades, Echovirus 30 (E30) and Japanese encephalitis virus (JEV) have been reported to be the common causative agents of acute meningitis among patients in South East Asia. An E30 outbreak in Vietnam in 2001-2002 gained our interest because the initial clinical diagnosis of infected patients was due to JEV infection. There are few clinical insights regarding E30 cases, and there are no reports comparing E30 and JEV acute meningitis/encephalitis cases based on clinical symptoms and case histories. We therefore aimed to identify reliable clinical methods to differentiate E30 and JEV acute meningitis/encephalitis. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 15% |
| Other | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Researcher | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 12 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 27% |
| Immunology and Microbiology | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Neuroscience | 2 | 6% |
| Psychology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 September 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from Virology Journal
#1,937
of 3,035 outputs
Outputs of similar age
#121,898
of 198,457 outputs
Outputs of similar age from Virology Journal
#35
of 56 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 198,457 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.