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新型コロナウイルス感染症の予測に関する数理モデル 感染症数理モデルの実際と活用と課題について,数式を一切使わない論考

Overview of attention for article published in Iryo To Shakai, April 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

twitter
90 X users

Readers on

mendeley
2 Mendeley
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Title
新型コロナウイルス感染症の予測に関する数理モデル 感染症数理モデルの実際と活用と課題について,数式を一切使わない論考
Published in
Iryo To Shakai, April 2022
DOI 10.4091/iken.32-59
Authors

古瀬 祐気

X Demographics

X Demographics

The data shown below were collected from the profiles of 90 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 50%
Researcher 1 50%
Readers by discipline Count As %
Social Sciences 1 50%
Medicine and Dentistry 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 17 November 2023.
All research outputs
#728,252
of 25,516,314 outputs
Outputs from Iryo To Shakai
#2
of 85 outputs
Outputs of similar age
#18,470
of 447,210 outputs
Outputs of similar age from Iryo To Shakai
#2
of 4 outputs
Altmetric has tracked 25,516,314 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 85 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 98% 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 447,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.