| Title |
A study on COVID-19 transmission dynamics: stability analysis of SEIR model with Hopf bifurcation for effect of time delay
|
|---|---|
| Published in |
Advances in Continuous and Discrete Models, September 2020
|
| DOI | 10.1186/s13662-020-02958-6 |
| Pubmed ID | |
| Authors |
M. Radha, S. Balamuralitharan |
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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 6 | 15% |
| Student > Master | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Ph. D. Student | 3 | 7% |
| Lecturer > Senior Lecturer | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 15 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 12% |
| Environmental Science | 4 | 10% |
| Nursing and Health Professions | 2 | 5% |
| Mathematics | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 18 | 44% |
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 25 September 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
#273,559
of 429,800 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#4
of 14 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 429,800 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 14 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.