| Title |
Network-based prediction of COVID-19 epidemic spreading in Italy
|
|---|---|
| Published in |
Applied Network Science, November 2020
|
| DOI | 10.1007/s41109-020-00333-8 |
| Pubmed ID | |
| Authors |
Clara Pizzuti, Annalisa Socievole, Bastian Prasse, Piet Van Mieghem |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 20% |
| United Kingdom | 1 | 20% |
| Ecuador | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 16% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Doctoral Student | 5 | 10% |
| Researcher | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 14 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 10% |
| Nursing and Health Professions | 4 | 8% |
| Engineering | 4 | 8% |
| Mathematics | 3 | 6% |
| Environmental Science | 3 | 6% |
| Other | 11 | 22% |
| Unknown | 19 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 December 2020.
All research outputs
#13,137,085
of 23,263,851 outputs
Outputs from Applied Network Science
#240
of 513 outputs
Outputs of similar age
#224,260
of 506,166 outputs
Outputs of similar age from Applied Network Science
#9
of 27 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 51% 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 506,166 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 55% of its contemporaries.
We're also able to compare this research output to 27 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 62% of its contemporaries.