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COVID-19 can suddenly become severe: a case series from Tokyo, Japan

Overview of attention for article published in Global Health & Medicine, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
Title
COVID-19 can suddenly become severe: a case series from Tokyo, Japan
Published in
Global Health & Medicine, June 2020
DOI 10.35772/ghm.2020.01054
Authors

Keiji Nakamura, Satoshi Ide, Sho Saito, Noriko Kinoshita, Satoshi Kutsuna, Yuki Moriyama, Tetsuya Suzuki, Masayuki Ota, Hidetoshi Nomoto, Tetsuya Mizoue, Masayuki Hojo, Jin Takasaki, Yusuke Asai, Mari Terada, Yutaro Akiyama, Yusuke Miyazato, Takato Nakamoto, Yuji Wakimoto, Mugen Ujiie, Kei Yamamoto, Masahiro Ishikane, Shinichiro Morioka, Kayoko Hayakawa, Haruhito Sugiyama, Norio Ohmagari

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Other 2 22%
Student > Ph. D. Student 2 22%
Librarian 1 11%
Unknown 1 11%
Readers by discipline Count As %
Medicine and Dentistry 5 56%
Nursing and Health Professions 1 11%
Economics, Econometrics and Finance 1 11%
Environmental Science 1 11%
Unknown 1 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 August 2020.
All research outputs
#8,257,234
of 16,077,324 outputs
Outputs from Global Health & Medicine
#2
of 14 outputs
Outputs of similar age
#123,962
of 302,432 outputs
Outputs of similar age from Global Health & Medicine
#1
of 3 outputs
Altmetric has tracked 16,077,324 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 12 of them.
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 302,432 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 58% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them