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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An interpretable boosting model to predict side effects of analgesics for osteoarthritis
|
|---|---|
| Published in |
BMC Systems Biology, November 2018
|
| DOI | 10.1186/s12918-018-0624-4 |
| Pubmed ID | |
| Authors |
Liangliang Liu, Ying Yu, Zhihui Fei, Min Li, Fang-Xiang Wu, Hong-Dong Li, Yi Pan, Jianxin Wang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 14% |
| Student > Bachelor | 10 | 14% |
| Researcher | 8 | 12% |
| Student > Doctoral Student | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 16% |
| Computer Science | 8 | 12% |
| Nursing and Health Professions | 5 | 7% |
| Agricultural and Biological Sciences | 4 | 6% |
| Engineering | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 26 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 November 2018.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Systems Biology
#1,006
of 1,126 outputs
Outputs of similar age
#379,241
of 442,168 outputs
Outputs of similar age from BMC Systems Biology
#39
of 45 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% 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 442,168 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.