| Title |
Forecasting patient flows with pandemic induced concept drift using explainable machine learning
|
|---|---|
| Published in |
EPJ Data Science, April 2023
|
| DOI | 10.1140/epjds/s13688-023-00387-5 |
| Pubmed ID | |
| Authors |
Teo Susnjak, Paula Maddigan |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 25% |
| Student > Ph. D. Student | 2 | 17% |
| Lecturer | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 17% |
| Immunology and Microbiology | 1 | 8% |
| Social Sciences | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 7 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 April 2023.
All research outputs
#15,872,485
of 23,580,560 outputs
Outputs from EPJ Data Science
#370
of 387 outputs
Outputs of similar age
#111,307
of 207,005 outputs
Outputs of similar age from EPJ Data Science
#4
of 5 outputs
Altmetric has tracked 23,580,560 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 387 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.2. This one is in the 2nd percentile – i.e., 2% 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 207,005 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.