| Title |
Quantifying the shift in social contact patterns in response to non-pharmaceutical interventions
|
|---|---|
| Published in |
Journal of Mathematics in Industry, December 2020
|
| DOI | 10.1186/s13362-020-00096-y |
| Pubmed ID | |
| Authors |
Zachary McCarthy, Yanyu Xiao, Francesca Scarabel, Biao Tang, Nicola Luigi Bragazzi, Kyeongah Nah, Jane M. Heffernan, Ali Asgary, V. Kumar Murty, Nicholas H. Ogden, Jianhong Wu |
X Demographics
The data shown below were collected from the profiles of 32 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 | 5 | 16% |
| United States | 2 | 6% |
| Australia | 1 | 3% |
| Philippines | 1 | 3% |
| Spain | 1 | 3% |
| Unknown | 22 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 88% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Scientists | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 14% |
| Researcher | 6 | 10% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Bachelor | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 25 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 12% |
| Social Sciences | 7 | 12% |
| Nursing and Health Professions | 4 | 7% |
| Mathematics | 3 | 5% |
| Economics, Econometrics and Finance | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 25 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 02 January 2022.
All research outputs
#1,225,177
of 25,734,859 outputs
Outputs from Journal of Mathematics in Industry
#2
of 44 outputs
Outputs of similar age
#33,137
of 528,554 outputs
Outputs of similar age from Journal of Mathematics in Industry
#1
of 3 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 44 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one scored the same or higher as 42 of them.
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 528,554 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 93% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them