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Application of artificial neural networks to predict the COVID-19 outbreak

Overview of attention for article published in Global Health Research and Policy, November 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
186 Mendeley
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

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 186 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 11%
Student > Bachelor 18 10%
Student > Ph. D. Student 12 6%
Researcher 10 5%
Student > Postgraduate 10 5%
Other 32 17%
Unknown 84 45%
Readers by discipline Count As %
Computer Science 20 11%
Engineering 15 8%
Medicine and Dentistry 13 7%
Mathematics 8 4%
Social Sciences 7 4%
Other 31 17%
Unknown 92 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 May 2022.
All research outputs
#13,530,827
of 23,814,046 outputs
Outputs from Global Health Research and Policy
#146
of 226 outputs
Outputs of similar age
#231,327
of 511,587 outputs
Outputs of similar age from Global Health Research and Policy
#9
of 10 outputs
Altmetric has tracked 23,814,046 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 226 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 35th percentile – i.e., 35% 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 511,587 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 53% of its contemporaries.
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.