Table 3.
Citation impact of authors with single versus multiple affiliations
| Discipline | Country | Citation numbers | Top 1%-cited (in %) | Top 10%-cited (in %) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Single-affil | Multi-affil | t test | Single-affil | Multi-affil | χ 2 test | Single-affil | Multi-affil | χ 2 test | ||
| Japan | Bioscience | 9.5 | 18.3 | *** | 0.8 | 4.3 | *** | 4.8 | 14.6 | *** |
| Chemistry | 12.1 | 18.4 | *** | 0.7 | 1.2 | ** | 11.7 | 24.6 | *** | |
| Engineering | 6.0 | 6.7 | 0.5 | 2.0 | *** | 9.7 | 11.4 | |||
| Germany | Bioscience | 26.0 | 34.8 | *** | 5.9 | 11.9 | *** | 25.5 | 38.5 | *** |
| Chemistry | 19.5 | 21.6 | 2.3 | 2.8 | 23.1 | 31.9 | *** | |||
| Engineering | 6.9 | 6.7 | 0.3 | 0.0 | 12.1 | 13.4 | ||||
| UK | Bioscience | 35.5 | 33.0 | 10.0 | 9.9 | 35.5 | 40.7 | *** | ||
| Chemistry | 20.9 | 17.5 | ** | 2.2 | 1.1 | * | 25.6 | 27.0 | ||
| Engineering | 8.0 | 8.3 | 1.2 | 2.0 | 14.2 | 19.7 | *** | |||
*** (**, *) indicate significance levels of 1% (5%, 10%) using a t-test or a χ 2 test. Significance levels remain in ANOVAs that control for author counts