| Title |
Application of artificial neural networks to predict the COVID-19 outbreak
|
|---|---|
| Published in |
Global Health Research and Policy, November 2020
|
| DOI | 10.1186/s41256-020-00175-y |
| Pubmed ID | |
| Authors |
Hamid Reza Niazkar, Majid Niazkar |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Italy | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 191 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 10% |
| Student > Bachelor | 20 | 10% |
| Student > Ph. D. Student | 13 | 7% |
| Researcher | 10 | 5% |
| Student > Postgraduate | 10 | 5% |
| Other | 30 | 16% |
| Unknown | 88 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 12% |
| Engineering | 15 | 8% |
| Medicine and Dentistry | 14 | 7% |
| Mathematics | 9 | 5% |
| Social Sciences | 7 | 4% |
| Other | 28 | 15% |
| Unknown | 96 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 May 2024.
All research outputs
#8,367,043
of 25,827,956 outputs
Outputs from Global Health Research and Policy
#134
of 279 outputs
Outputs of similar age
#195,469
of 529,399 outputs
Outputs of similar age from Global Health Research and Policy
#7
of 11 outputs
Altmetric has tracked 25,827,956 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. 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 529,399 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.