About YCR. This metric is designed to become a minimum necessary set of measurements. The R (relative) portion is calculated by independent implementation of the RCR algorithm with some modifications.
Relative (R-portion) > 1 is good. R-portion can be low (or even not calculated) for new articles which didn't collect enough citations yet. On the other hand, R-portion can be disproportionately high for a Review type of articles, which we plan to detect and normalize in the near future.
YCR use cases. The YCR metric can guide your reading priorities across diverse research situations.
Exploring an unfamiliar field. You can quickly identify “hot” papers by looking for YCRs with a high R-portion.
Exploring the borders of a familiar field. At the edges where your specialty meets less familiar neighboring areas, YCR can guide you to “hot” papers with a high R-portion.
Mining a familiar field for overlooked work. Focus on “hidden gems”, papers whose YCR shows a low current R-portion, suggesting they were skipped by other researchers. Add context by checking for a high R-portion in earlier years and/or high R-portions in other articles by the same author(s). Mechanisms to automate this workflow are part of our future development roadmap.
YCR data statistics
256,088,911 scientific papers' metadata imported
83,922,018 Biomedical-category papers detected
18,085,165 Oncology-category papers detected
84,476,362 total in Biomedical + Oncology
YCR precalculated for 41,199,797 Biomedical papers (49%)
YCR precalculated for 9,205,340 Oncology papers (51%)
OpenAlex data imported on: 30-May-2024
OpenAlex data updated on: 30-May-2024