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Nowcasting and Forecasting the Spread of COVID-19 and Healthcare Demand in Turkey, a Modeling Study

Overview of attention for article published in Frontiers in Public Health, January 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
79 Mendeley
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Title
Nowcasting and Forecasting the Spread of COVID-19 and Healthcare Demand in Turkey, a Modeling Study
Published in
Frontiers in Public Health, January 2021
DOI 10.3389/fpubh.2020.575145
Pubmed ID
Authors

Seyma Arslan, Muhammed Yusuf Ozdemir, Abdullah Ucar

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 13%
Other 7 9%
Student > Postgraduate 6 8%
Student > Ph. D. Student 6 8%
Student > Doctoral Student 6 8%
Other 22 28%
Unknown 22 28%
Readers by discipline Count As %
Medicine and Dentistry 21 27%
Nursing and Health Professions 7 9%
Engineering 6 8%
Agricultural and Biological Sciences 3 4%
Computer Science 3 4%
Other 14 18%
Unknown 25 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 January 2022.
All research outputs
#7,292,227
of 26,456,908 outputs
Outputs from Frontiers in Public Health
#2,990
of 14,965 outputs
Outputs of similar age
#170,306
of 540,416 outputs
Outputs of similar age from Frontiers in Public Health
#129
of 394 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 14,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 79% 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 540,416 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 68% of its contemporaries.
We're also able to compare this research output to 394 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.