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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis
|
|---|---|
| Published in |
Frontiers in Public Health, May 2020
|
| DOI | 10.3389/fpubh.2020.00178 |
| Pubmed ID | |
| Authors |
Koichi Fujiwara, Yukun Huang, Kentaro Hori, Kenichi Nishioji, Masao Kobayashi, Mai Kamaguchi, Manabu Kano |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 13% |
| Student > Master | 9 | 10% |
| Researcher | 8 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 18 | 19% |
| Unknown | 34 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 18% |
| Engineering | 16 | 17% |
| Medicine and Dentistry | 7 | 7% |
| Economics, Econometrics and Finance | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 12 | 13% |
| Unknown | 38 | 40% |
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 06 June 2022.
All research outputs
#13,678,871
of 23,208,901 outputs
Outputs from Frontiers in Public Health
#3,262
of 10,642 outputs
Outputs of similar age
#197,143
of 389,846 outputs
Outputs of similar age from Frontiers in Public Health
#100
of 188 outputs
Altmetric has tracked 23,208,901 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,642 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has gotten more attention than average, scoring higher than 67% 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 389,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.