| Title |
Heterogeneity in SIR epidemics modeling: superspreaders and herd immunity
|
|---|---|
| Published in |
Applied Network Science, November 2020
|
| DOI | 10.1007/s41109-020-00336-5 |
| Pubmed ID | |
| Authors |
Istvan Szapudi |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| Chile | 1 | 17% |
| United States | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 18% |
| Student > Master | 5 | 18% |
| Student > Ph. D. Student | 4 | 14% |
| Researcher | 3 | 11% |
| Professor | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 14% |
| Engineering | 3 | 11% |
| Nursing and Health Professions | 3 | 11% |
| Computer Science | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 5 | 18% |
| Unknown | 10 | 36% |
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 19 February 2021.
All research outputs
#7,581,611
of 23,263,851 outputs
Outputs from Applied Network Science
#213
of 513 outputs
Outputs of similar age
#187,830
of 508,990 outputs
Outputs of similar age from Applied Network Science
#8
of 28 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 57% 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 508,990 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 62% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.