You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A data-driven metapopulation model for the Belgian COVID-19 epidemic: assessing the impact of lockdown and exit strategies
|
|---|---|
| Published in |
BMC Infectious Diseases, May 2021
|
| DOI | 10.1186/s12879-021-06092-w |
| Pubmed ID | |
| Authors |
Pietro Coletti, Pieter Libin, Oana Petrof, Lander Willem, Steven Abrams, Sereina A. Herzog, Christel Faes, Elise Kuylen, James Wambua, Philippe Beutels, Niel Hens |
X Demographics
The data shown below were collected from the profiles of 12 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 | 1 | 8% |
| United States | 1 | 8% |
| Belgium | 1 | 8% |
| Austria | 1 | 8% |
| Unknown | 8 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 58% |
| Members of the public | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 13% |
| Student > Master | 11 | 13% |
| Researcher | 10 | 11% |
| Student > Ph. D. Student | 6 | 7% |
| Lecturer > Senior Lecturer | 5 | 6% |
| Other | 16 | 18% |
| Unknown | 28 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 23% |
| Nursing and Health Professions | 5 | 6% |
| Mathematics | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Social Sciences | 4 | 5% |
| Other | 16 | 18% |
| Unknown | 33 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 October 2021.
All research outputs
#3,970,305
of 24,609,626 outputs
Outputs from BMC Infectious Diseases
#1,299
of 8,238 outputs
Outputs of similar age
#89,741
of 438,930 outputs
Outputs of similar age from BMC Infectious Diseases
#41
of 224 outputs
Altmetric has tracked 24,609,626 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,238 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 84% 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 438,930 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 224 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.