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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison
|
|---|---|
| Published in |
BMC Medical Research Methodology, November 2022
|
| DOI | 10.1186/s12874-022-01758-8 |
| Pubmed ID | |
| Authors |
André Pfob, Sheng-Chieh Lu, Chris Sidey-Gibbons |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 31% |
| India | 1 | 8% |
| Mexico | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 27 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 16% |
| Computer Science | 7 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Engineering | 2 | 4% |
| Psychology | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 27 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 12 December 2022.
All research outputs
#6,434,976
of 24,988,543 outputs
Outputs from BMC Medical Research Methodology
#898
of 2,229 outputs
Outputs of similar age
#115,709
of 435,381 outputs
Outputs of similar age from BMC Medical Research Methodology
#22
of 62 outputs
Altmetric has tracked 24,988,543 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,229 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 59% 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 435,381 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 73% of its contemporaries.
We're also able to compare this research output to 62 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 66% of its contemporaries.