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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning in medicine: a practical introduction
|
|---|---|
| Published in |
BMC Medical Research Methodology, March 2019
|
| DOI | 10.1186/s12874-019-0681-4 |
| Pubmed ID | |
| Authors |
Jenni A. M. Sidey-Gibbons, Chris J. Sidey-Gibbons |
X Demographics
The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 7 | 16% |
| United States | 6 | 13% |
| United Kingdom | 4 | 9% |
| Brazil | 1 | 2% |
| Italy | 1 | 2% |
| Algeria | 1 | 2% |
| Ecuador | 1 | 2% |
| Egypt | 1 | 2% |
| China | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 18 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 80% |
| Scientists | 5 | 11% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,026 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1026 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 109 | 11% |
| Student > Ph. D. Student | 91 | 9% |
| Researcher | 90 | 9% |
| Student > Bachelor | 86 | 8% |
| Student > Doctoral Student | 47 | 5% |
| Other | 127 | 12% |
| Unknown | 476 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 141 | 14% |
| Computer Science | 105 | 10% |
| Engineering | 58 | 6% |
| Biochemistry, Genetics and Molecular Biology | 49 | 5% |
| Agricultural and Biological Sciences | 23 | 2% |
| Other | 146 | 14% |
| Unknown | 504 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 27 February 2024.
All research outputs
#952,742
of 25,985,060 outputs
Outputs from BMC Medical Research Methodology
#84
of 2,343 outputs
Outputs of similar age
#21,745
of 367,016 outputs
Outputs of similar age from BMC Medical Research Methodology
#4
of 58 outputs
Altmetric has tracked 25,985,060 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,343 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 96% 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 367,016 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.