Perioperative Predictors of Length of Stay After Total Hip Arthroplasty
The Journal of Arthroplasty, ISSN: 0883-5403, Vol: 31, Issue: 7, Page: 1427-1430
2016
- 33Citations
- 1Usage
- 64Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations33
- Citation Indexes33
- 33
- CrossRef3
- Usage1
- Abstract Views1
- Captures64
- Readers64
- 64
Article Description
Few studies had examined whether specific patient variables or performance on functional testing can predict length of stay (LOS) after total hip arthroplasty (THA). Such tools would enable providers to minimize prolonged LOS by planning appropriate discharge dispositions preoperatively.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0883540316000656; http://dx.doi.org/10.1016/j.arth.2016.01.005; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84956903503&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/26869060; https://linkinghub.elsevier.com/retrieve/pii/S0883540316000656; https://ir.lib.uwo.ca/boneandjointpub/810; https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=1809&context=boneandjointpub; https://dx.doi.org/10.1016/j.arth.2016.01.005
Elsevier BV
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