| Title |
Heterogeneous susceptibility to rotavirus infection and gastroenteritis in two birth cohort studies: Parameter estimation and epidemiological implications
|
|---|---|
| Published in |
PLoS Computational Biology, July 2019
|
| DOI | 10.1371/journal.pcbi.1007014 |
| Pubmed ID | |
| Authors |
Joseph A. Lewnard, Benjamin A. Lopman, Umesh D. Parashar, Aisleen Bennett, Naor Bar-Zeev, Nigel A. Cunliffe, Prasanna Samuel, M. Lourdes Guerrero, Guillermo Ruiz-Palacios, Gagandeep Kang, Virginia E. Pitzer |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
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 > Ph. D. Student | 11 | 18% |
| Student > Master | 9 | 15% |
| Researcher | 5 | 8% |
| Student > Postgraduate | 3 | 5% |
| Student > Bachelor | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 23 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 20% |
| Agricultural and Biological Sciences | 5 | 8% |
| Nursing and Health Professions | 4 | 7% |
| Computer Science | 3 | 5% |
| Psychology | 2 | 3% |
| Other | 11 | 18% |
| Unknown | 24 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 July 2019.
All research outputs
#8,266,724
of 25,385,509 outputs
Outputs from PLoS Computational Biology
#5,490
of 8,961 outputs
Outputs of similar age
#138,875
of 359,593 outputs
Outputs of similar age from PLoS Computational Biology
#116
of 168 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 8,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 37th percentile – i.e., 37% 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 359,593 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.