Cumulative group metrics: a new and efficient method to measure the scientific impact of research groups

Various metrics have emerged for assessing scientific impact, most of which are based on complex calculations and, in many cases, are not freely available. Moreover, most of these metrics are not intended for assessing the scientific impact of research groups. Cumulative group metrics are proposed as an efficient and cost-effective strategy for measuring group scientific impact.

Materials and methods: The authors collected peer-reviewed output in 2020 from two academic orthopedic surgery departments [University of Michigan (UM) and Mayo Clinic Rochester (MC)] and one medical device research department [Arthrex Inc. (AI)]. The sites evaluated the Cumulative Group Number of Publications (CGNP), Cumulative Journal Impact Factor (CJIF), Cumulative CiteScore (CCS), Cumulative SCImago Journal Rank (CSJR), and Cumulative Source Normalized Impact per Paper (CSNIP) for the three institutions.

Results: In 2020, UM published 159 peer-reviewed studies, MC published 347 peer-reviewed studies, and AI supported 141 publications. The UM publications achieved a CJIF of 513, a CCS of 891, a CSJR of 255, and a CSNIP of 247. The MC publications achieved a CJIF of 956, a CCS of 1568, a CSJR of 485, and a CSNIP of 508. AI-supported publications achieved a CJIF of 314, a CCS of 598, a CSJR of 189, and a CSNIP of 189.

Conclusion: The presented cumulative group metrics are an effective tool to assess the scientific impact of a research group. The cumulative submetrics can further evaluate research groups compared with other departments due to field normalization. Department leadership and funding agencies can utilize these metrics to evaluate research output quantitatively and qualitatively.