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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of machine learning techniques for classification of HIV patients with antiretroviral therapy-induced mitochondrial toxicity from those without mitochondrial toxicity
|
|---|---|
| Published in |
BMC Medical Research Methodology, November 2019
|
| DOI | 10.1186/s12874-019-0848-z |
| Pubmed ID | |
| Authors |
Jong Soo Lee, Elijah Paintsil, Vivek Gopalakrishnan, Musie Ghebremichael |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 24% |
| Student > Ph. D. Student | 5 | 15% |
| Researcher | 3 | 9% |
| Lecturer | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Psychology | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 18 | 53% |
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 October 2020.
All research outputs
#13,663,856
of 23,177,498 outputs
Outputs from BMC Medical Research Methodology
#1,308
of 2,045 outputs
Outputs of similar age
#223,896
of 459,228 outputs
Outputs of similar age from BMC Medical Research Methodology
#31
of 43 outputs
Altmetric has tracked 23,177,498 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 2,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 33rd percentile – i.e., 33% 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 459,228 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.