基于邮件的科技期刊论文单篇精准推送服务的实现——以《应用生态学报》为例
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摘要
【目的】促进科技期刊论文的高效传播,精准提高科技期刊显示度。【方法】基于《应用生态学报》审稿专家数据库、作者数据库和读者数据库的75275条数据,采用数理统计方法并结合编辑工作实践,构建科技期刊论文单篇精准推送客体指标体系,并优化远程投稿系统。提出科技期刊论文单篇精准推送方法,并于2018年1月开始在《应用生态学报》实施,对影响该方法精准度的影响因素进行分析,提出了该方法需要改进之处。【结果】科技期刊论文单篇精准推送方法践行一年以来取得较好的效果,2018年至今每期都能收到对推送文章和期刊感兴趣的反馈。影响该方法精准度的因素包括研究方向的准确录入、推送客体的科学确定和推送方式的正确选择。【结论】科技期刊与新媒体的巧妙融合,加上数理统计方法的广泛应用,为学术论文单篇精准推送服务的实现提供了可能。
[Purposes] This study aims to promote the efficient dissemination of articles in scientific journals and improve the display of scientific journals accurately. [Methods] Based on 75275 data from the expert database,author database,and reader database of Chinese Journal of Applied Ecology,the object index system of accurate single-article pushing for scientific journals was constructed by using mathematical statistics method combined with editorial practice,and the remote submission system was optimized. The method of accurate single-article pushing for scientific journals was put forward,which had been implemented in Chinese Journal of Applied Ecology since January,2018. The factors influencing the accuracy of the method were analyzed and the improvement was put forward. [Findings] Accurate pushing method for single article of scientific journals has achieved good results since it was put into practice for one year. Every issue has received feedback on the interest of pushing articles and journals since January,2018. The factors influencing the accuracy of the proposed method include accurate input of research directions,scientific determination of pushing objects,and correct selection of pushing modes. [Conclusions] The skillful integration of scientific journals and newmedia,together with the wide application of mathematical statistics method,makes it possible to realize the accurate pushing service of academic articles.
[Purposes] This study aims to promote the efficient dissemination of articles in scientific journals and improve the display of scientific journals accurately. [Methods] Based on 75275 data from the expert database,author database,and reader database of Chinese Journal of Applied Ecology,the object index system of accurate single-article pushing for scientific journals was constructed by using mathematical statistics method combined with editorial practice,and the remote submission system was optimized. The method of accurate single-article pushing for scientific journals was put forward,which had been implemented in Chinese Journal of Applied Ecology since January,2018. The factors influencing the accuracy of the method were analyzed and the improvement was put forward. [Findings] Accurate pushing method for single article of scientific journals has achieved good results since it was put into practice for one year. Every issue has received feedback on the interest of pushing articles and journals since January,2018. The factors influencing the accuracy of the proposed method include accurate input of research directions,scientific determination of pushing objects,and correct selection of pushing modes. [Conclusions] The skillful integration of scientific journals and newmedia,together with the wide application of mathematical statistics method,makes it possible to realize the accurate pushing service of academic articles.
引文
[1]郭媛媛,黄延红,侯修洲,等.通过邮件精准推送实现学术论文高效传播[J].中国科技期刊研究,2015,26(11):1227-1231.
[2]许升阳,赵瑞.学术期刊闭环质量控制与提升[J].中国科技期刊研究,2015,26(9):941-945.
[3]喻菁,陈捷捷,王娜,等.《中国舰船研究》面向科研创新的知识服务探索与实践[J].中国科技期刊研究,2019,30(3):258-263.
[4]吕雪梅,程利冬,张宏,等.基于中文DOI优先出版科技期刊论文的快速精准推送[J].编辑学报,2018,30(5):488-491.
[5]孙晶琼.基于问卷调查的用户角度信息推送服务评价[J].甘肃科技纵横,2013,42(8):16-19.
[6]张然,王晓峰,丁洁,等.学术期刊推送邮件打开率和点击率提高策略探究[J].中国科技期刊研究,2017,28(3):241-246.
[7]吴锋.“大数据时代”科技期刊的出版革命及面临挑战[J].出版发行研究,2013(8):66-70.
[8]周洁.利用大数据优化科技期刊出版流程的实践与思考[J].中国科技期刊研究,2018,29(2):144-147.
[9]张凯.基于百度指数的科技期刊影响力大数据分析———以《中华医学杂志》为例[J].中国科技期刊研究,2016,27(7):779-784.
[10]吕小红,杨开英,张蕾.大数据时代精细加工提高科技论文显示度[J].编辑学报,2018,30(4):373-375.
[11]朱银周,唐虹.学术期刊审稿专家研究领域与稿件匹配度的优化[J].中国科技期刊研究,2019,30(2):132-136.
[12]吕赛英,王维朗.电子邮件系统进行期刊文献推送的策略[J].科技与出版,2012(4):85-86.
[13]刘志强,张芳英.学术类科技期刊网刊推送策略研究[J].科技与出版,2014(6):37-40.
[14]曾庆平.研究方向是“变”还是“不变”[EB/OL].(2010-11-11)[2018-12-23]. http://blog. sciencenet. cn/u/qpzeng.
[15] Li T Y,Fong S. A fast feature selection method based on coefficient of variation for diabetics prediction using machine learning[J]. International Journal of Extreme Automation and Connectivity in Healthcare,2019,1(1):55-65.
[16]刘莲花.基于距离综合评价法的数学核心期刊评价[J].中国科技期刊研究,2015,26(8):871-874.
[17]孔艳,颜帅.学术期刊距离优先数字出版有多远[J].科技与出版,2013(2):72-75.
[18]徐伟娟,蔡雯雯,江雨莲.浅谈大数据时代科技期刊面临的挑战与机遇[J].今传媒,2016,24(3):105-106.
[19]中国互联网络信息中心.第43次《中国互联网络发展状况统计报告》[EB/OL].(2019-02-28)[2019-02-28].http://www. cac. gov. cn/2019-02/28/c_1124175677. htm.
[2]许升阳,赵瑞.学术期刊闭环质量控制与提升[J].中国科技期刊研究,2015,26(9):941-945.
[3]喻菁,陈捷捷,王娜,等.《中国舰船研究》面向科研创新的知识服务探索与实践[J].中国科技期刊研究,2019,30(3):258-263.
[4]吕雪梅,程利冬,张宏,等.基于中文DOI优先出版科技期刊论文的快速精准推送[J].编辑学报,2018,30(5):488-491.
[5]孙晶琼.基于问卷调查的用户角度信息推送服务评价[J].甘肃科技纵横,2013,42(8):16-19.
[6]张然,王晓峰,丁洁,等.学术期刊推送邮件打开率和点击率提高策略探究[J].中国科技期刊研究,2017,28(3):241-246.
[7]吴锋.“大数据时代”科技期刊的出版革命及面临挑战[J].出版发行研究,2013(8):66-70.
[8]周洁.利用大数据优化科技期刊出版流程的实践与思考[J].中国科技期刊研究,2018,29(2):144-147.
[9]张凯.基于百度指数的科技期刊影响力大数据分析———以《中华医学杂志》为例[J].中国科技期刊研究,2016,27(7):779-784.
[10]吕小红,杨开英,张蕾.大数据时代精细加工提高科技论文显示度[J].编辑学报,2018,30(4):373-375.
[11]朱银周,唐虹.学术期刊审稿专家研究领域与稿件匹配度的优化[J].中国科技期刊研究,2019,30(2):132-136.
[12]吕赛英,王维朗.电子邮件系统进行期刊文献推送的策略[J].科技与出版,2012(4):85-86.
[13]刘志强,张芳英.学术类科技期刊网刊推送策略研究[J].科技与出版,2014(6):37-40.
[14]曾庆平.研究方向是“变”还是“不变”[EB/OL].(2010-11-11)[2018-12-23]. http://blog. sciencenet. cn/u/qpzeng.
[15] Li T Y,Fong S. A fast feature selection method based on coefficient of variation for diabetics prediction using machine learning[J]. International Journal of Extreme Automation and Connectivity in Healthcare,2019,1(1):55-65.
[16]刘莲花.基于距离综合评价法的数学核心期刊评价[J].中国科技期刊研究,2015,26(8):871-874.
[17]孔艳,颜帅.学术期刊距离优先数字出版有多远[J].科技与出版,2013(2):72-75.
[18]徐伟娟,蔡雯雯,江雨莲.浅谈大数据时代科技期刊面临的挑战与机遇[J].今传媒,2016,24(3):105-106.
[19]中国互联网络信息中心.第43次《中国互联网络发展状况统计报告》[EB/OL].(2019-02-28)[2019-02-28].http://www. cac. gov. cn/2019-02/28/c_1124175677. htm.