|
|
Review of Research Progress on Low-citation of Scientific and Technical Literature |
Hu Zewen, Cui Jingjing, Cao Ling |
School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044 |
|
|
Abstract High-citation and low-citation of papers are both opposite and unified, universal phenomena in the science world. Although high-citation, due to its powerful positive guiding role, has received extensive attention from domestic and overseas scholars, we should not neglect the negative caution role of low-citation on scientific research’s quality and influence. In this study, we firstly clarified the background, related definitions, and significance of low-citation studies. Through comprehensively reading and analyzing all the related research literature on low-citation, we summarized four important research topics. They are the measurement of low-citation threshold and the percentages of lowly cited literature, time-changed patterns of low-citation rate, the determinants leading to low-citation and the prediction of the future value of lowly cited publications, and the application of the evaluation indicators related to low-citation. Finally, we further reviewed and commented on the development status and existing problems in the four above-mentioned important topics and proposed the future research plans and solutions for solving such problems. Our purpose is to provide a general picture of low-citation for readers who are interested in this topic.
|
Received: 25 December 2019
|
|
|
|
1 Stringer M J, Sales-Pardo M, Nunes Amaral L A. Statistical validation of a global model for the distribution of the ultimate number of citations accrued by papers published in a scientific journal[J]. Journal of the American Society for Information Science and Technology, 2010, 61(7): 1377-1385. 2 Rodríguez-Navarro A. A simple index for the high-citation tail of citation distribution to quantify research performance in countries and institutions[J]. PLoS ONE, 2011, 6(5): e20510. 3 Amez L. Citation measures at the micro level: Influence of publication age, field, and uncitedness[J]. Journal of the American Society for Information Science and Technology, 2012, 63(7): 1459-1465. 4 梁立明, 林晓锦, 钟镇, 等. 迟滞承认: 科学中的睡美人现 象——以一篇被迟滞承认的超弦理论论文为例[J]. 自然辩证法通讯, 2009, 31(1): 39-45, 111. 5 Li J, Ye F Y. The phenomenon of all-elements-sleeping-beauties in scientific literature[J]. Scientometrics, 2012, 92(3): 795-799. 6 van Raan A F J. Sleeping beauties in science[J]. Scientometrics, 2004, 59(3): 467-472. 7 Anderson C. Long tail, the revised and updated edition: Why the future of business is selling less of more[M]. USA: Hyperion Books, 2008. 8 Refinetti R. Low citation rates: Who is to blame?[J]. The FASEB Journal, 1991, 5(8): 2217-2217. 9 Siekevitz P. Author’s reply[J]. The FASEB Journal, 1991, 5(8): 2217. 10 彭德倩. 中国论文八成零引用低引用[N]. 解放日报, 2006-09-25(8). 11 Barber B. Resistance by scientists to scientific discovery[J]. Science, 1961, 134(3479): 596-602. 12 武夷山. 千万不能忽视文献“睡美人”现象[N]. 科学时报, 2008-02-29. 13 胡泽文, 孙建军, 武夷山. 国内知识图谱应用研究综述[J]. 图书情报工作, 2013, 57(3): 131-137, 84. 14 曹树金, 吴育冰, 韦景竹, 等. 知识图谱研究的脉络、流派与趋势——基于SSCI与CSSCI期刊论文的计量与可视化[J]. 中国图书馆学报, 2015, 41(5): 16-34. 15 赵蓉英, 许丽敏. 文献计量学发展演进与研究前沿的知识图谱探析[J]. 中国图书馆学报, 2010, 36(5): 60-68. 16 Albarrán P, Ortu?o I, Ruiz-Castillo J. The measurement of low- and high-impact in citation distributions: Technical results[J]. Journal of Informetrics, 2011, 5(1): 48-63. 17 Albarrán P, Ortu?o I, Ruiz-Castillo J. High- and low-impact citation measures: Empirical applications[J]. Journal of Informetrics, 2011, 5(1): 122-145. 18 杨建林, 刘芳. 高学术影响力学者的低被引论文分析——以图书馆学情报学领域为例[J]. 情报理论与实践, 2009, 32(9): 53-55, 78. 19 杨利军, 万小渝. 期刊论文低被引标准的界定方法[J]. 情报理论与实践, 2013, 36(7): 51-53, 66. 20 王新. 科技期刊低被引论文的界定与评价方法探究——以《期刊引用报告》凝聚态物理学65种期刊为例[J]. 中国科技期刊研究, 2017, 28(7): 647-657, 685-686. 21 Rousseau R. Double exponential models for first-citation processes[J]. Scientometrics, 1994, 30(1): 213-227. 22 Egghe L. A heuristic study of the first-citation distribution[J]. Scientometrics, 2000, 48(3): 345-359. 23 Egghe L, Ravichandra Rao I K. Theory of first-citation distributions and applications[J]. Mathematical and Computer Modelling, 2001, 34(1-2): 81-90. 24 Burrell Q L. Stochastic modelling of the first-citation distribution[J]. Scientometrics, 2001, 52(1): 3-12. 25 高晓培, 袁军鹏, 马峥, 等. 科技期刊论文首次被引的幂律分布规律研究[J]. 情报学报, 2015, 34(7): 693-700. 26 Hu Z W, Wu Y S. Regularity in the time-dependent distribution of the percentage of never-cited papers: An empirical pilot study based on the six journals[J]. Journal of Informetrics, 2014, 8(1): 136-146. 27 胡泽文, 武夷山, 高继平. 图书情报学领域期刊论文零被引率的演变规律研究[J]. 情报学报, 2018, 37(3): 243-253. 28 Moed H F, van Raan A F J. Cross-field impact and impact delay of physics departments[J]. Czechoslovak Journal of Physics B, 1986, 36(1): 97-100. 29 杨柳, 梅琴, 李万春. 《湖泊科学》创刊以来低被引论文特征剖析[J]. 编辑学报, 2017, 29(S1): 166-169. 30 Hu Z W, Wu Y S, Sun J J. A quantitative analysis of determinants of non-citation using a panel data model[J]. Scientometrics, 2018, 116(2): 843-861. 31 Hu Z W, Wu Y S, Sun J J. A survey-based structural equation model analysis on influencing factors of non-citation[J]. Current Science, 2018, 114(11): 2302-2312. 32 杨利军, 万小渝. 低被引期刊论文学术价值的评价方法研究[J]. 情报理论与实践, 2014, 37(7): 95-101. 33 Schubert A, Gl?nzel W. Mean response-time—A new indicator of journal citation speed with application to physics journals[J]. Czechoslovak Journal of Physics, 1986, 36(1): 121-125. 34 Bornmann L, Daniel H D. The citation speed index: A useful bibliometric indicator to add to the h index[J]. Journal of Informetrics, 2010, 4(3): 444-446. 35 Egghe L, Bornmann L, Guns R. A proposal for a first-citation-speed-index[J]. Journal of Informetrics, 2011, 5(1): 181-186. 36 聂超, 袁浩川. 基于扩展h指数的科研评价初探[J]. 情报理论与实践, 2009, 32(12): 68-70. 37 聂超, 高慧颖. 基于h指数的科研评价综合改进[J]. 情报杂志, 2010, 29(1): 93-96. 38 武群芳, 唐晓莉, 刘芳, 等. 期刊首次被引速度指数的改进及其实证研究[J]. 图书情报工作, 2014, 58(24): 86-90. 39 申东阳, 伍玉, 韩毅. 科研人员首次被引速度指数的构建及实证研究[J]. 图书情报工作, 2016, 60(11): 86-92. 40 齐燕. 首次被引速度指数的改进及实证研究——以作者首引评价为例[J]. 图书情报工作, 2017, 61(24): 114-122. 41 Barber B. Resistance by scientists to scientific discovery[J]. Science, 1961, 134(3479): 596-602. 42 van Raan A F J. Sleeping beauties in science[J]. Scientometrics, 2004, 59(3): 467-472. 43 Burrell Q L. Are “sleeping beauties” to be expected?[J]. Scientometrics, 2005, 65(3): 381-389. 44 Ohba N, Nakao K. Sleeping beauties in ophthalmology[J]. Scientometrics, 2012, 93(2): 253-264. 45 Hartley J, Ho Y S. Who woke the sleeping beauties in psychology?[J]. Scientometrics, 2017, 112(2): 1065-1068. 46 Dey R, Roy A, Chakraborty T, et al. Sleeping beauties in Computer Science: Characterization and early identification[J]. Scientometrics, 2017, 113(3): 1645-1663. 47 van Raan A F J, Winnink J J. Do younger sleeping beauties prefer a technological prince?[J]. Scientometrics, 2018, 114(2): 701-717. 48 Teixeira A A C, Vieira P C, Abreu A P. Sleeping beauties and their princes in innovation studies[J]. Scientometrics, 2017, 110(2): 541-580. 49 梁立明, 林晓瑾, 钟镇, 等. 迟滞承认: 科学中的睡美人现 象——以一篇被迟滞承认的超弦理论论文为例[J]. 自然辩证法通讯, 2009, 31(1): 39-45, 111. 50 Wang J C, Ma F C, Chen M J, et al. Why and how can “sleeping beauties” be awakened?[J]. The Electronic Library, 2012, 30(1): 5-18. 51 Li J, Ye F Y. The phenomenon of all-elements-sleeping-beauties in scientific literature[J]. Scientometrics, 2012, 92(3): 795-799. 52 Li J. Citation curves of “all-elements-sleeping-beauties”: “flash in the pan” first and then “delayed recognition”[J]. Scientometrics, 2014, 100(2): 595-601. 53 李江, 姜明利, 李玥婷. 引文曲线的分析框架研究——以诺贝尔奖得主的引文曲线为例[J]. 中国图书馆学报, 2014, 40(2): 41-49. 54 叶鹰. “睡美人”释义[J]. 中国图书馆学报, 2014, 40(2): 49. 55 Li J, Shi D B. Sleeping beauties in genius work: When were they awakened?[J]. Journal of the Association for Information Science and Technology, 2016, 67(2): 432-440. 56 Du J, Wu Y S. A parameter-free index for identifying under-cited sleeping beauties in science[J]. Scientometrics, 2018, 116(2): 959-971. 57 杜建, 武夷山. 睡美人与王子文献的识别方法研究[J]. 图书情报工作, 2015, 59(19): 84-92. 58 李秀霞, 邵作运, 刘超. 基于K值算法的图书情报领域“睡美人”文献识别[J]. 图书情报工作, 2017, 61(21): 114-122. 59 郭斐, 鄢小燕. 睡美人文献识别方法分析与改进构想[J]. 图书情报工作, 2016, 60(8): 93-98. 60 杜建, 武夷山. “睡美人”文献的重要特征、预测线索与政策启示[J]. 科学学研究, 2018, 36(11): 1938-1945. 61 姚建文, 赵庆华, 吴丽萍. 图书情报论文的睡美人现象考察[J]. 大学图书馆学报, 2014, 32(3): 64-68. 62 袁红, 杭培培. 不同学科领域“睡美人”论文的比较分析[J]. 情报资料工作, 2016(2): 34-38. 63 Ye F Y, Bornmann L. “Smart girls” versus “sleeping beauties” in the sciences: The identification of instant and delayed recognition by using the citation angle[J]. Journal of the Association for Information Science and Technology, 2018, 69(3): 359-367. 64 杜建, 武夷山. 基于被引速率指标识别睡美人文献及其“王 子”——以2014年诺贝尔化学奖得主Stefan Hell的睡美人文献为例[J]. 情报学报, 2015, 34(5): 508-521. |
|
|
|