[1] 周建中, 闫昊, 孙粒. 我国科研人员职业生涯成长轨迹与影响因素研究[J]. 科研管理, 2019, 40(10):126-141. [2] MERTON R K. The matthew effect in science[J]. International journal of dermatology, 1968, 27(3810):56-63. [3] LIU L, WANG Y, SINATRA R, et al. Hot streaks in artistic, cultural, and scientific careers[J]. Nature, 2018, 559(7714):396-399. [4] 中共中央, 国务院. 关于进一步弘扬科学家精神加强作风和学风建设的意见[EB/OL].[2021-07-18]. http://www.gov.cn/zhengce/2019-06/11/content_5399239.htm. [5] RUAN W, HOU H, HU Z. Detecting dynamics of hot topics with alluvial diagrams:a timeline visualization[J]. Journal of data and information science, 2017, 2(3):37-48. [6] 邱均平, 余厚强. 科学家黄金年龄影响因素的综合分析[J]. 情报杂志, 2014, 33(3):11-15, 5. [7] COLE S. Age and scientific performance[J]. American journal of sociology, 1979, 84(4):958-977. [8] JONES B F, WEINBERG B A. Age dynamics in scientific creativity[J]. Proceedings of the national academy of sciences, 2011, 108(47):18910-18914. [9] SIMONTON D K. Career landmarks in science:individual differences and interdisciplinary contrasts[J]. Developmental psychology, 1991, 27(1):119. [10] SIMONTON D K. Age and outstanding achievement:what do we know after a century of research?[J]. Psychological bulletin, 1988, 104(2):251. [11] BRODETSKY S. Newton:scientist and man[J]. Nature, 1942, 150(3816):698-699. [12] STEPHAN P, LEVIN S. Age and the Nobel Prize revisited[J]. Scientometrics, 1993, 28(3):387-399. [13] LI J, YIN Y, FORTUNATO S, et al. Scientific elite revisited:patterns of productivity, collaboration, authorship and impact[J]. Journal of the royal society interface, 2020, 17(165):20200135. [14] JONES B F. The burden of knowledge and the "death of the renaissance man":is innovation getting harder?[J]. The review of economic studies, 2009, 76(1):283-317. [15] COKOL M, IOSSIFOV I, WEINREB C, et al. Emergent behavior of growing knowledge about molecular interactions[J]. Nature biotechnology, 2005, 23(10):1243-1247. [16] SINATRA R, DEVILLE P, SZELL M, et al. A century of physics[J]. Nature physics, 2015, 11(10):791-796. [17] PETERSEN A M, FORTUNATO S, PAN R K, et al. Reputation and impact in academic careers[J]. Proceedings of the national academy of sciences, 2014, 111(43):15316-15321. [18] PETERSEN A M. Quantifying the impact of weak, strong, and super ties in scientific careers[J]. Proceedings of the national academy of sciences, 2015, 112(34):e4671-e4680. [19] 史庆伟, 乔晓东, 徐硕, 等. 作者主题演化模型及其在研究兴趣演化分析中的应用[J]. 情报学报, 2013, 32(9):912-919. [20] 陈立雪, 郭思月, 滕广青, 等. 科研人员研究主题的聚焦与迁移研究[J]. 数字图书馆论坛, 2019(12):9-17. [21] UZZI B, MUKHERJEE S, STRINGER M, et al. Atypical combinations and scientific impact[J]. Science, 2013, 342(6157):468-472. [22] GUIMERA R, UZZI B, SPIRO J, et al. Team assembly mechanisms determine collaboration network structure and team performance[J]. Science, 2005, 308(5722):697-702. [23] BOURDIEU P. The specificity of the scientific field and the social conditions of the progress of reason[J]. Social science information, 1975, 14(6):19-47. [24] HOONLOR A, SZYMANSKI B K, ZAKI M J. Trends in computer science research[J]. Communications of the ACM, 2013, 56(10):74-83. [25] RZHETSKY A, FOSTER J G, FOSTER I T, et al. Choosing experiments to accelerate collective discovery[J]. Proceedings of the national academy of sciences, 2015, 112(47):14569-14574. [26] JIA T, WANG D, SZYMANSKI B K. Quantifying patterns of research-interest evolution[J]. Nature human behaviour, 2017, 1(4):78. [27] ZENG A, SHEN Z, ZHOU J, et al. Increasing trend of scientists to switch between topics[J]. Nature communications, 2019, 10(1):1-11. [28] HOFMANN T. Probabilistic latent semantic indexing[C]//Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval. New York:ACM, 1999:50-57. [29] BLEI D M, NG A Y, JORDAN M I. Latent dirichlet allocation[J]. Journal of machine learning research, 2003, 3(1):993-1022. [30] ANGELOV D. Top2Vec:distributed representations of topics[EB/OL].[2021-02-18]. https://arxiv.org/pdf/2008.09470.pdf. [31] SALTON G, YU C T. On the construction of effective vocabularies for information retrieval[J]. Acm sigplan notices, 1973, 10(1):48-60. [32] SINATRA R, WANG D, DEVILLE P, et al. Quantifying the evolution of individual scientific impact[J]. Science, 2016, 354(6312):596. [33] FROSCH K H. Workforce age and innovation:a literature survey[J]. International journal of management reviews, 2011, 13(4):414-430. |