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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Severe pediatric acute encephalopathy syndromes related to SARS-CoV-2
|
|---|---|
| Published in |
Frontiers in Neuroscience, February 2023
|
| DOI | 10.3389/fnins.2023.1085082 |
| Pubmed ID | |
| Authors |
Hiroshi Sakuma, Jun-ichi Takanashi, Kazuhiro Muramatsu, Hidehito Kondo, Takashi Shiihara, Motomasa Suzuki, Kazuo Okanari, Mariko Kasai, Osamu Mitani, Tomoyuki Nakazawa, Taku Omata, Konomi Shimoda, Yuichi Abe, Yoshihiro Maegaki, Kei Murayama, Yuka Murofushi, Hiroaki Nagase, Akihisa Okumura, Yasunari Sakai, Hiroko Tada, Masashi Mizuguchi, Japanese Pediatric Neuro-COVID-19 Study Group, Tsuyoshi Matsuoka, Hiroshi Oakada, Tatsuharu Sato, Kenjiro Kikuchi, Satoshi Akamine, Nanako Kawata, Shinichiro Morichi, Hideyuki Iwayama, Ryuta Tanaka, Yoshiyuki Hanaoka, Yuki Minamisawa, Tatsuya Ema, Mitsuo Motobayashi, Tomoshiro Ito, Fumikazu Sano |
X Demographics
The data shown below were collected from the profiles of 1,055 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 | 301 | 29% |
| Austria | 4 | <1% |
| Korea, Democratic People's Republic of | 2 | <1% |
| Taiwan | 2 | <1% |
| Switzerland | 1 | <1% |
| Haiti | 1 | <1% |
| Uganda | 1 | <1% |
| Poland | 1 | <1% |
| Vietnam | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 738 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1042 | 99% |
| Scientists | 4 | <1% |
| Practitioners (doctors, other healthcare professionals) | 4 | <1% |
| Science communicators (journalists, bloggers, editors) | 3 | <1% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 43% |
| Student > Bachelor | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 43% |
| Computer Science | 1 | 14% |
| Chemical Engineering | 1 | 14% |
| Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 594. 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 19 April 2024.
All research outputs
#39,613
of 25,818,700 outputs
Outputs from Frontiers in Neuroscience
#14
of 11,716 outputs
Outputs of similar age
#1,105
of 426,145 outputs
Outputs of similar age from Frontiers in Neuroscience
#2
of 471 outputs
Altmetric has tracked 25,818,700 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,716 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 99% 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 426,145 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 99% of its contemporaries.
We're also able to compare this research output to 471 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.