Title |
Epidemiological and Viral Genomic Sequence Analysis of the 2014 Ebola Outbreak Reveals Clustered Transmission
|
---|---|
Published in |
Clinical Infectious Diseases, December 2014
|
DOI | 10.1093/cid/ciu1131 |
Pubmed ID | |
Authors |
Samuel V. Scarpino, Atila Iamarino, Chad Wells, Dan Yamin, Martial Ndeffo-Mbah, Natasha S. Wenzel, Spencer J. Fox, Tolbert Nyenswah, Frederick L. Altice, Alison P. Galvani, Lauren Ancel Meyers, Jeffrey P. Townsend |
Abstract |
Using Ebolavirus genomic and epidemiological data, we conducted the first joint analysis in which both data types were used to fit dynamic transmission models for an ongoing outbreak. Our results indicate that transmission is clustered, highlighting a potential bias in medical demand forecasts, and provide the first empirical estimate of underreporting. |
X Demographics
The data shown below were collected from the profiles of 56 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 States | 20 | 36% |
Italy | 2 | 4% |
Australia | 2 | 4% |
Brazil | 2 | 4% |
Ireland | 2 | 4% |
United Kingdom | 1 | 2% |
Japan | 1 | 2% |
Comoros | 1 | 2% |
New Zealand | 1 | 2% |
Other | 6 | 11% |
Unknown | 18 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 35 | 63% |
Scientists | 17 | 30% |
Practitioners (doctors, other healthcare professionals) | 4 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
United States | 2 | 1% |
Brazil | 2 | 1% |
France | 1 | <1% |
Unknown | 128 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 18% |
Researcher | 24 | 18% |
Student > Bachelor | 21 | 16% |
Student > Master | 16 | 12% |
Other | 12 | 9% |
Other | 26 | 19% |
Unknown | 12 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 32 | 24% |
Medicine and Dentistry | 26 | 19% |
Mathematics | 10 | 7% |
Biochemistry, Genetics and Molecular Biology | 8 | 6% |
Nursing and Health Professions | 7 | 5% |
Other | 27 | 20% |
Unknown | 25 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 98. 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 23 August 2021.
All research outputs
#429,293
of 25,374,917 outputs
Outputs from Clinical Infectious Diseases
#825
of 16,853 outputs
Outputs of similar age
#4,956
of 360,879 outputs
Outputs of similar age from Clinical Infectious Diseases
#4
of 220 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.7. This one has done particularly well, scoring higher than 95% 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 360,879 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 98% of its contemporaries.
We're also able to compare this research output to 220 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 98% of its contemporaries.