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Mathematical epidemiologic and simulation modelling of first wave COVID-19 in Malaysia

Overview of attention for article published in Scientific Reports, October 2021
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1 X user

Citations

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46 Mendeley
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Title
Mathematical epidemiologic and simulation modelling of first wave COVID-19 in Malaysia
Published in
Scientific Reports, October 2021
DOI 10.1038/s41598-021-99541-0
Pubmed ID
Authors

Muhammad Rezal Kamel Ariffin, Kathiresan Gopal, Isthrinayagy Krishnarajah, Iszuanie Syafidza Che Ilias, Mohd Bakri Adam, Jayanthi Arasan, Nur Haizum Abd Rahman, Nur Sumirah Mohd Dom, Noraishah Mohammad Sham

X Demographics

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The data shown below were collected from the profile of 1 X user 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 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 %
Student > Master 6 13%
Student > Ph. D. Student 4 9%
Researcher 3 7%
Student > Bachelor 3 7%
Lecturer > Senior Lecturer 2 4%
Other 4 9%
Unknown 24 52%
Readers by discipline Count As %
Mathematics 9 20%
Medicine and Dentistry 3 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Nursing and Health Professions 1 2%
Unspecified 1 2%
Other 4 9%
Unknown 27 59%
Attention Score in Context

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 21 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Scientific Reports
#107,959
of 125,996 outputs
Outputs of similar age
#361,467
of 439,624 outputs
Outputs of similar age from Scientific Reports
#3,337
of 3,867 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 1st percentile – i.e., 1% 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 439,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,867 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.