Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience
Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience is a paper indexed in ScholarIQ from OpenAlex.
How many citations does Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience have?
Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience has 43 citations in the OpenAlex counts ScholarIQ stores.
When was Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience published?
Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience has 2020 year in the ScholarIQ index.
What is the open-access status of Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience?
Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience has green oa status in the ScholarIQ index.
What is the DOI of Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience?
The DOI for Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience is on the source record.
What is the PMID of Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience?
The PMID for Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience is on the source record.
What is the OpenAlex record for Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience?
The OpenAlex for Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience is on the source record.