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Spatial variability of COVID-19 and its risk factors in Nigeria: A spatial regression method

Overview of attention for article published in Applied Geography, December 2021
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1 X user

Citations

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14 Dimensions

Readers on

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67 Mendeley
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Title
Spatial variability of COVID-19 and its risk factors in Nigeria: A spatial regression method
Published in
Applied Geography, December 2021
DOI 10.1016/j.apgeog.2021.102621
Pubmed ID
Authors

Taye Bayode, Ayobami Popoola, Olawale Akogun, Alexander Siegmund, Hangwelani Magidimisha-Chipungu, Olusiyi Ipingbemi

X Demographics

X Demographics

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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 10%
Student > Bachelor 5 7%
Lecturer 4 6%
Student > Master 4 6%
Student > Postgraduate 4 6%
Other 5 7%
Unknown 38 57%
Readers by discipline Count As %
Social Sciences 6 9%
Nursing and Health Professions 4 6%
Agricultural and Biological Sciences 3 4%
Environmental Science 3 4%
Business, Management and Accounting 2 3%
Other 9 13%
Unknown 40 60%
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 09 December 2021.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Applied Geography
#1,155
of 1,199 outputs
Outputs of similar age
#437,897
of 513,091 outputs
Outputs of similar age from Applied Geography
#13
of 15 outputs
Altmetric has tracked 25,392,582 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 1,199 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. 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 513,091 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 15 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.