| Title |
COVID-19 multidisciplinary high dependency unit: the Milan model
|
|---|---|
| Published in |
Respiratory Research, October 2020
|
| DOI | 10.1186/s12931-020-01516-8 |
| Pubmed ID | |
| Authors |
Stefano Aliberti, Francesco Amati, Maria Pappalettera, Marta Di Pasquale, Alice D’Adda, Marco Mantero, Andrea Gramegna, Edoardo Simonetta, Anna Maria Oneta, Emilia Privitera, Andrea Gori, Giorgio Bozzi, Flora Peyvandi, Francesca Minoia, Giovanni Filocamo, Chiara Abbruzzese, Marco Vicenzi, Paola Tagliabue, Salvatore Alongi, Francesco Blasi |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 14% |
| Mexico | 3 | 11% |
| United Kingdom | 2 | 7% |
| Italy | 2 | 7% |
| Canada | 1 | 4% |
| Moldova, Republic of | 1 | 4% |
| United States | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Argentina | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 71% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
| Scientists | 3 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 10% |
| Student > Master | 12 | 8% |
| Other | 10 | 7% |
| Researcher | 9 | 6% |
| Student > Ph. D. Student | 6 | 4% |
| Other | 18 | 12% |
| Unknown | 75 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 18% |
| Nursing and Health Professions | 12 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 6% |
| Agricultural and Biological Sciences | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 8 | 6% |
| Unknown | 82 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 03 January 2021.
All research outputs
#2,331,475
of 25,387,668 outputs
Outputs from Respiratory Research
#236
of 3,063 outputs
Outputs of similar age
#61,309
of 436,151 outputs
Outputs of similar age from Respiratory Research
#10
of 91 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,063 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 92% 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 436,151 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.