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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comprehensive tool for creating and evaluating privacy-preserving biomedical prediction models
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2020
|
| DOI | 10.1186/s12911-020-1041-3 |
| Pubmed ID | |
| Authors |
Johanna Eicher, Raffael Bild, Helmut Spengler, Klaus A. Kuhn, Fabian Prasser |
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 | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Researcher | 6 | 9% |
| Student > Master | 5 | 8% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 12 | 19% |
| Unknown | 24 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 28% |
| Medicine and Dentistry | 10 | 16% |
| Social Sciences | 3 | 5% |
| Unspecified | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 25 | 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 13 February 2020.
All research outputs
#13,315,321
of 23,192,960 outputs
Outputs from BMC Medical Informatics and Decision Making
#935
of 2,018 outputs
Outputs of similar age
#210,336
of 456,021 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#22
of 39 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,018 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 52% 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 456,021 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 53% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.