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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimal Treatment Allocations in Space and Time for On-Line Control of an Emerging Infectious Disease
|
|---|---|
| Published in |
Journal of the Royal Statistical Society: Series C (Applied Statistics), July 2018
|
| DOI | 10.1111/rssc.12266 |
| Pubmed ID | |
| Authors |
Eric B. Laber, Nick J. Meyer, Brian J. Reich, Krishna Pacifici, Jaime A. Collazo, John M. Drake |
X Demographics
The data shown below were collected from the profiles of 14 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 | 8 | 57% |
| United Kingdom | 2 | 14% |
| Australia | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 71% |
| Members of the public | 4 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 27% |
| Researcher | 16 | 27% |
| Student > Master | 8 | 13% |
| Professor | 2 | 3% |
| Student > Bachelor | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 11 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 14 | 23% |
| Agricultural and Biological Sciences | 5 | 8% |
| Computer Science | 5 | 8% |
| Social Sciences | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 18 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 18 August 2018.
All research outputs
#3,790,822
of 25,385,509 outputs
Outputs from Journal of the Royal Statistical Society: Series C (Applied Statistics)
#48
of 655 outputs
Outputs of similar age
#71,448
of 340,475 outputs
Outputs of similar age from Journal of the Royal Statistical Society: Series C (Applied Statistics)
#3
of 8 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 655 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 92% 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 340,475 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.