| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1007/s11192-016-1939-9 |
| ISBN | 2330-1643 |
| The scaling relationship between citation-based performance and co-authorship patterns in natural sciences. | |
| Ronda-Pupo, Guillermo Armando; Katz, J. Sylvan | |
| 发表日期 | 2016-06-01 |
| 出处 | Journal of the Association for Information Science and Technology |
| 出版者 | John Wiley & Sons |
| 出版年 | 2016 |
| 页码 | 1423-1434 |
| 语种 | 英语 |
| 摘要 | The aim of this paper is to extend our knowledge about the power-law relationship between citation-based performance and collaboration patterns for papers in the natural sciences. We analyzed 829,924 articles that received 16,490,346 citations. The number of articles published through collaboration account for 89%. The citation-based performance and collaboration patterns exhibit a power-law correlation with a scaling exponent of 1.20 ± 0.07. Citations to a subfield’s research articles tended to increase 2.1.20 or 2.30 times each time it doubles the number of collaborative papers. The scaling exponent for the power-law relationship for single-authored papers was 0.85 ± 0.11. The citations to a subfield’s single-authored research articles increased 2.0.85 or 1.89 times each time the research area doubles the number of non-collaborative papers. The Matthew effect is stronger for collaborated papers than for single-authored. In fact, with a scaling exponent < 1.0 the impact of single-author papers exhibits a cumulative disadvantage or inverse Matthew effect. |
| URL | http://sro.sussex.ac.uk/id/eprint/61897/ |
| 来源智库 | Science Policy Research Unit (United Kingdom) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/468716 |
| 推荐引用方式 GB/T 7714 | Ronda-Pupo, Guillermo Armando,Katz, J. Sylvan. The scaling relationship between citation-based performance and co-authorship patterns in natural sciences.. 2016. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
