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 |
Pubmed ID | |
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 |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 5 | 50% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 90% |
Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 7 | 18% |
Researcher | 6 | 15% |
Student > Master | 6 | 15% |
Student > Ph. D. Student | 4 | 10% |
Student > Bachelor | 1 | 3% |
Other | 6 | 15% |
Unknown | 10 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 35% |
Nursing and Health Professions | 4 | 10% |
Immunology and Microbiology | 2 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Environmental Science | 1 | 3% |
Other | 4 | 10% |
Unknown | 14 | 35% |
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 18 September 2021.
All research outputs
#6,957,403
of 25,168,110 outputs
Outputs from Global Health & Medicine
#29
of 134 outputs
Outputs of similar age
#139,473
of 404,719 outputs
Outputs of similar age from Global Health & Medicine
#2
of 5 outputs
Altmetric has tracked 25,168,110 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 134 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 78% 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 404,719 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 65% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.