| Title |
An outbreak of severe Kawasaki-like disease at the Italian epicentre of the SARS-CoV-2 epidemic: an observational cohort study
|
|---|---|
| Published in |
The Lancet, June 2020
|
| DOI | 10.1016/s0140-6736(20)31103-x |
| Pubmed ID | |
| Authors |
Lucio Verdoni, Angelo Mazza, Annalisa Gervasoni, Laura Martelli, Maurizio Ruggeri, Matteo Ciuffreda, Ezio Bonanomi, Lorenzo D'Antiga |
Twitter Demographics
The data shown below were collected from the profiles of 7,599 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1584 | 21% |
| United Kingdom | 835 | 11% |
| Canada | 189 | 2% |
| Japan | 109 | 1% |
| Australia | 102 | 1% |
| Spain | 102 | 1% |
| Germany | 65 | <1% |
| France | 64 | <1% |
| India | 60 | <1% |
| Other | 818 | 11% |
| Unknown | 3671 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6418 | 84% |
| Scientists | 544 | 7% |
| Practitioners (doctors, other healthcare professionals) | 424 | 6% |
| Science communicators (journalists, bloggers, editors) | 211 | 3% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,609 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1609 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 199 | 12% |
| Other | 193 | 12% |
| Student > Bachelor | 164 | 10% |
| Student > Master | 131 | 8% |
| Student > Postgraduate | 113 | 7% |
| Other | 364 | 23% |
| Unknown | 445 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 719 | 45% |
| Biochemistry, Genetics and Molecular Biology | 63 | 4% |
| Immunology and Microbiology | 63 | 4% |
| Nursing and Health Professions | 47 | 3% |
| Agricultural and Biological Sciences | 28 | 2% |
| Other | 173 | 11% |
| Unknown | 516 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6448. 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 05 September 2023.
All research outputs
#483
of 24,514,423 outputs
Outputs from The Lancet
#51
of 41,794 outputs
Outputs of similar age
#45
of 401,706 outputs
Outputs of similar age from The Lancet
#8
of 372 outputs
Altmetric has tracked 24,514,423 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 41,794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.0. 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 401,706 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 372 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 98% of its contemporaries.