Title |
Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications
|
---|---|
Published in |
Advances in Continuous and Discrete Models, November 2020
|
DOI | 10.1186/s13662-020-03095-w |
Pubmed ID | |
Authors |
Abdon Atangana, Seda İğret Araz |
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 % |
---|---|---|
South Africa | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 15% |
Student > Doctoral Student | 7 | 13% |
Researcher | 5 | 9% |
Student > Bachelor | 5 | 9% |
Student > Ph. D. Student | 4 | 7% |
Other | 10 | 18% |
Unknown | 16 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 7 | 13% |
Medicine and Dentistry | 6 | 11% |
Nursing and Health Professions | 5 | 9% |
Business, Management and Accounting | 3 | 5% |
Agricultural and Biological Sciences | 3 | 5% |
Other | 13 | 24% |
Unknown | 18 | 33% |
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 08 January 2021.
All research outputs
#20,669,432
of 25,387,668 outputs
Outputs from Advances in Continuous and Discrete Models
#101
of 189 outputs
Outputs of similar age
#394,128
of 518,504 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#8
of 10 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 518,504 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
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 2 of them.