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Machine learning approaches in Covid-19 severity risk prediction in Morocco

Overview of attention for article published in Journal of Big Data, January 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
85 Mendeley
Title
Machine learning approaches in Covid-19 severity risk prediction in Morocco
Published in
Journal of Big Data, January 2022
DOI 10.1186/s40537-021-00557-0
Pubmed ID
Authors

Mariam Laatifi, Samira Douzi, Abdelaziz Bouklouz, Hind Ezzine, Jaafar Jaafari, Younes Zaid, Bouabid El Ouahidi, Mariam Naciri

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 7%
Student > Bachelor 6 7%
Lecturer 5 6%
Student > Master 4 5%
Researcher 3 4%
Other 11 13%
Unknown 50 59%
Readers by discipline Count As %
Computer Science 14 16%
Nursing and Health Professions 3 4%
Medicine and Dentistry 3 4%
Engineering 3 4%
Agricultural and Biological Sciences 2 2%
Other 9 11%
Unknown 51 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 February 2023.
All research outputs
#4,534,741
of 23,323,574 outputs
Outputs from Journal of Big Data
#74
of 351 outputs
Outputs of similar age
#105,097
of 509,003 outputs
Outputs of similar age from Journal of Big Data
#1
of 12 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 77% 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 509,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.