| Title |
Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei
|
|---|---|
| Published in |
Applied Network Science, July 2020
|
| DOI | 10.1007/s41109-020-00274-2 |
| Pubmed ID | |
| Authors |
Bastian Prasse, Massimo A. Achterberg, Long Ma, Piet Van Mieghem |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 16% |
| Researcher | 10 | 11% |
| Student > Master | 10 | 11% |
| Other | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 21 | 22% |
| Unknown | 26 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 16% |
| Engineering | 11 | 12% |
| Computer Science | 8 | 9% |
| Physics and Astronomy | 4 | 4% |
| Environmental Science | 4 | 4% |
| Other | 22 | 23% |
| Unknown | 30 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 July 2020.
All research outputs
#15,160,034
of 23,316,003 outputs
Outputs from Applied Network Science
#349
of 513 outputs
Outputs of similar age
#235,823
of 397,487 outputs
Outputs of similar age from Applied Network Science
#21
of 29 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 397,487 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.