| Title |
Mathematical Modeling of Business Reopening When Facing SARS-CoV-2 Pandemic: Protection, Cost, and Risk
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, August 2020
|
| DOI | 10.3389/fams.2020.00035 |
| Authors |
Hongyu Miao, Qianmiao Gao, Han Feng, Chengxue Zhong, Pengwei Zhu, Liang Wu, Michael D. Swartz, Xi Luo, Stacia M. DeSantis, Dejian Lai, Cici Bauer, Adriana Pérez, Libin Rong, David Lairson |
X Demographics
The data shown below were collected from the profiles of 107 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 4% |
| Nigeria | 4 | 4% |
| Philippines | 4 | 4% |
| United States | 3 | 3% |
| Switzerland | 3 | 3% |
| Venezuela, Bolivarian Republic of | 3 | 3% |
| Mexico | 3 | 3% |
| Colombia | 3 | 3% |
| El Salvador | 2 | 2% |
| Other | 27 | 25% |
| Unknown | 51 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 92 | 86% |
| Scientists | 12 | 11% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 5 | 16% |
| Student > Master | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 10 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 5 | 16% |
| Arts and Humanities | 2 | 6% |
| Environmental Science | 2 | 6% |
| Business, Management and Accounting | 2 | 6% |
| Economics, Econometrics and Finance | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 13 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 251. 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 21 June 2021.
All research outputs
#149,165
of 25,660,026 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#1
of 407 outputs
Outputs of similar age
#4,732
of 427,482 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#1
of 10 outputs
Altmetric has tracked 25,660,026 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 407 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% 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 427,482 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 98% of its contemporaries.
We're also able to compare this research output to 10 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