| 吴艳妮,周春兰.科技期刊编辑对学术不端论文的识别 ——以《护理学报》为例.编辑学报,2015,27(4):361-362 |
| 科技期刊编辑对学术不端论文的识别 ——以《护理学报》为例 |
| Identifying papers with academic misconduct:a case study of Journal of Nursing |
| 投稿时间：2014-06-03 修订日期：2014-06-03 |
| DOI： |
| 中文关键词: 科技期刊 学术不端 防伪举措 |
| 英文关键词: sci-tech journal academic misconduct anti-fake measures |
| 基金项目: |
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| 摘要点击次数: 966 |
| 全文下载次数: 914 |
| 中文摘要: |
| 以《护理学报》为例,总结科技期刊编辑审稿过程中对学术不端论文的识别。对于“枪手”论文,可从与作者电话沟通中识别,从审稿费汇款信息识别,从网站投稿注册信息识别,以及从作者所在科室与论文研究方向吻合度识别；对于篡改或伪造数据论文,可通过仔细审查文章数据,分析数据与所得统计结果之间是否存在漏洞或矛盾之处,若有质疑则要求作者提供数据输入统计软件的原始表格及统计软件所导出的原始分析结果；对于抄袭中文论文者,可通过多个学术不端文献检测软件结合Baidu、Google等网络平台进行多重检测；对抄袭外文论文者,可通过论文的语言表达、与作者交流等途径识别。 |
| 英文摘要: |
| This paper sums up how to identify papers with academic misconduct by editors of scientific journals. Telephone communication, information of remittance for payment to peer reviewers, registration information in website submission and consistency between the content of the paper and the author's research area all help to distinguish the ghostwriting. Careful data review for whether there are flaws or contradictions between data and statistical results contributes to recognizing papers with forged or falsified data. Multi-detection through the software special for detection of academic misconduct together with websites such as Baidu, Google is beneficial to identifying copied Chinese papers, and for those copied papers in English, expressions in the paper and the communication between authors and editors will play an important role in the distinguishing. |
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