| Title |
Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets
|
|---|---|
| Published in |
Journal of Big Data, August 2021
|
| DOI | 10.1186/s40537-021-00501-2 |
| Authors |
Jenna M. Reps, Patrick B. Ryan, Peter R. Rijnbeek, Martijn J. Schuemie |
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 % |
|---|---|---|
| Japan | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 15% |
| Student > Master | 3 | 15% |
| Lecturer | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Other | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 30% |
| Computer Science | 3 | 15% |
| Agricultural and Biological Sciences | 2 | 10% |
| Immunology and Microbiology | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 5 | 25% |
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 17 June 2023.
All research outputs
#15,023,808
of 23,876,851 outputs
Outputs from Journal of Big Data
#195
of 363 outputs
Outputs of similar age
#202,053
of 388,071 outputs
Outputs of similar age from Journal of Big Data
#7
of 11 outputs
Altmetric has tracked 23,876,851 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 43rd percentile – i.e., 43% 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 388,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.