| Title |
Applying Machine Learning to Workers’ Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention Priorities
|
|---|---|
| Published in |
Journal of Occupational & Environmental Medicine, January 2018
|
| DOI | 10.1097/jom.0000000000001162 |
| Pubmed ID | |
| Authors |
Alysha R. Meyers, Ibraheem S. Al-Tarawneh, Steven J. Wurzelbacher, P. Timothy Bushnell, Michael P. Lampl, Jennifer L. Bell, Stephen J. Bertke, David C. Robins, Chih-Yu Tseng, Chia Wei, Jill A. Raudabaugh, Teresa M. Schnorr |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 18% |
| Researcher | 8 | 13% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 5 | 8% |
| Student > Bachelor | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 19 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 18% |
| Medicine and Dentistry | 10 | 17% |
| Nursing and Health Professions | 8 | 13% |
| Computer Science | 3 | 5% |
| Social Sciences | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 20 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 17 September 2020.
All research outputs
#2,596,679
of 25,382,440 outputs
Outputs from Journal of Occupational & Environmental Medicine
#507
of 5,186 outputs
Outputs of similar age
#56,930
of 449,550 outputs
Outputs of similar age from Journal of Occupational & Environmental Medicine
#12
of 72 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,186 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 90% 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 449,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.