| Title |
COVID-19 Mortality Rate Prediction for India Using Statistical Neural Network Models
|
|---|---|
| Published in |
Frontiers in Public Health, August 2020
|
| DOI | 10.3389/fpubh.2020.00441 |
| Pubmed ID | |
| Authors |
S Dhamodharavadhani, R Rathipriya, Jyotir Moy Chatterjee |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 11% |
| Student > Ph. D. Student | 8 | 8% |
| Lecturer | 7 | 7% |
| Researcher | 6 | 6% |
| Student > Postgraduate | 6 | 6% |
| Other | 21 | 22% |
| Unknown | 37 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 16% |
| Engineering | 9 | 9% |
| Medicine and Dentistry | 8 | 8% |
| Immunology and Microbiology | 4 | 4% |
| Nursing and Health Professions | 3 | 3% |
| Other | 18 | 19% |
| Unknown | 38 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 August 2020.
All research outputs
#15,094,298
of 23,234,261 outputs
Outputs from Frontiers in Public Health
#4,209
of 10,700 outputs
Outputs of similar age
#235,940
of 398,949 outputs
Outputs of similar age from Frontiers in Public Health
#144
of 263 outputs
Altmetric has tracked 23,234,261 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,700 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 55% 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 398,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.