slg
Properties
- Metric Type: Alternative Metric
- Publication Focus: All Publications
- Citation Focus: All Citations
Description
Gagolewski et al. (2022) suggested a variety of metrics that might be used to approximate the distribution of an author's citation vector, some of which were novel in a bibliometric context. slg is the sum of the logarithms of the citation counts (plus one), which is an estimator often used for Pareto distributions.
$$slg= \sum\limits_{i=1}^P \log\left(C_i + 1\right)$$History
| Year | slg |
|---|---|
| 1997 | 0.6021 |
| 1998 | 2.8854 |
| 1999 | 4.9577 |
| 2000 | 7.6134 |
| 2001 | 10.9230 |
| 2002 | 17.0095 |
| 2003 | 22.3784 |
| 2004 | 28.7618 |
| 2005 | 35.3465 |
| 2006 | 42.4545 |
| 2007 | 47.3368 |
| 2008 | 52.8635 |
| 2009 | 57.2845 |
| 2010 | 66.1832 |
| 2011 | 72.6412 |
| 2012 | 78.0029 |
| 2013 | 82.9321 |
| 2014 | 88.7607 |
| 2015 | 94.3572 |
| 2016 | 98.1815 |
| 2017 | 101.9078 |
| 2018 | 105.9962 |
| 2019 | 110.2617 |
| 2020 | 114.5307 |
| 2021 | 119.1024 |
| 2022 | 122.8516 |
| 2023 | 126.0178 |
| 2024 | 130.1833 |
| 2025 | 133.5400 |
References
- Gagolewski, M., B. Żogała‑Siudem, G. Siudem, and A. Cena (2022) Ockham's index of citation impact. Scientometrics 127:2829-2845.