| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1002/asi.23737 |
| ISBN | 2330-1643 |
| Funding data from publication acknowledgements: coverage, uses and limitations. | |
| Grassano, Nicola; Rotolo, Daniele; Hutton, Joshua; Lang, Frédérique; Hopkins, Michael M | |
| 发表日期 | 2017-04-01 |
| 出处 | Journal of the Association for Information Science and Technology |
| 出版者 | Wiley |
| 出版年 | 2017 |
| 页码 | 999-1017 |
| 语种 | 英语 |
| 摘要 | This article contributes to the development of methods for analysing research funding systems by exploring the robustness and comparability of emerging approaches to generate funding landscapes useful for policy making. We use a novel dataset of manually extracted and coded data on the funding acknowledgements of 7,510 publications representing UK cancer research in the year 2011 and compare these 'reference data' with funding data provided by Web of Science (WoS) and MEDLINE/PubMed. Findings show high recall (about 93%) of WoS funding data. By contrast, MEDLINE/PubMed data retrieved less than half of the UK cancer publications acknowledging at least one funder. Conversely, both databases have high precision (+90%): i.e. few cases of publications with no acknowledgement to funders are identified as having funding data. Nonetheless, funders acknowledged in UK cancer publications were not correctly listed by MEDLINE/PubMed and WoS in about 75% and 32% of the cases, respectively. 'Reference data' on the UK cancer research funding system are then used as a case-study to demonstrate the utility of funding data for strategic intelligence applications (e.g. mapping of funding landscape, comparison of funders’ research portfolios). |
| 特色分类 | H Social Sciences (General) |
| 关键词 | funding data acknowledgments precision recall bibliometrics scientomet- rics cancer research MEDLINE/PubMed ISI Web of Science. |
| URL | http://sro.sussex.ac.uk/id/eprint/60513/ |
| 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/468879 |
| 推荐引用方式 GB/T 7714 | Grassano, Nicola,Rotolo, Daniele,Hutton, Joshua,et al. Funding data from publication acknowledgements: coverage, uses and limitations.. 2017. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2016JASIST_Funding_d（4506KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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