| Title |
Global Forecasting Confirmed and Fatal Cases of COVID-19 Outbreak Using Autoregressive Integrated Moving Average Model
|
|---|---|
| Published in |
Frontiers in Public Health, October 2020
|
| DOI | 10.3389/fpubh.2020.580327 |
| Pubmed ID | |
| Authors |
Debabrata Dansana, Raghvendra Kumar, Janmejoy Das Adhikari, Mans Mohapatra, Rohit Sharma, Ishaani Priyadarshini, Dac-Nhuong Le |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Tanzania, United Republic of | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 13% |
| Other | 5 | 11% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Lecturer > Senior Lecturer | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 17 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 9% |
| Computer Science | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Nursing and Health Professions | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Other | 13 | 28% |
| Unknown | 19 | 41% |
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 October 2020.
All research outputs
#15,646,171
of 23,257,423 outputs
Outputs from Frontiers in Public Health
#4,826
of 10,735 outputs
Outputs of similar age
#258,847
of 420,651 outputs
Outputs of similar age from Frontiers in Public Health
#226
of 382 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,735 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has gotten more attention than average, scoring higher than 50% 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 420,651 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.