| Title |
In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-03872-0 |
| Pubmed ID | |
| Authors |
Giulia Russo, Marzio Pennisi, Epifanio Fichera, Santo Motta, Giuseppina Raciti, Marco Viceconti, Francesco Pappalardo |
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 % |
|---|---|---|
| Italy | 3 | 30% |
| Canada | 1 | 10% |
| United Kingdom | 1 | 10% |
| China | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 18% |
| Student > Bachelor | 15 | 12% |
| Other | 12 | 9% |
| Student > Ph. D. Student | 9 | 7% |
| Student > Master | 9 | 7% |
| Other | 22 | 17% |
| Unknown | 37 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 19% |
| Nursing and Health Professions | 10 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 5% |
| Social Sciences | 6 | 5% |
| Other | 29 | 23% |
| Unknown | 46 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 11 June 2022.
All research outputs
#5,134,898
of 25,385,509 outputs
Outputs from BMC Bioinformatics
#1,791
of 7,693 outputs
Outputs of similar age
#129,135
of 517,518 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 146 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,693 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 76% 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 517,518 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 75% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.