| Title |
A mathematical model of COVID-19 using fractional derivative: outbreak in India with dynamics of transmission and control
|
|---|---|
| Published in |
Advances in Continuous and Discrete Models, July 2020
|
| DOI | 10.1186/s13662-020-02834-3 |
| Pubmed ID | |
| Authors |
Amjad Salim Shaikh, Iqbal Najiroddin Shaikh, Kottakkaran Sooppy Nisar |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 14% |
| Student > Master | 14 | 12% |
| Lecturer | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Researcher | 8 | 7% |
| Other | 21 | 18% |
| Unknown | 37 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 21 | 18% |
| Medicine and Dentistry | 12 | 10% |
| Environmental Science | 6 | 5% |
| Engineering | 6 | 5% |
| Nursing and Health Professions | 4 | 3% |
| Other | 27 | 23% |
| Unknown | 39 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 31 July 2020.
All research outputs
#17,297,846
of 25,387,668 outputs
Outputs from Advances in Continuous and Discrete Models
#46
of 189 outputs
Outputs of similar age
#275,116
of 428,853 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#3
of 12 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 189 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 51% 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 428,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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 50% of its contemporaries.