다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
Science, v.359 no.6379 = no.6379, 2018년, pp.eaao0185 - eaao0185
Fortunato, Santo (Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.) , Bergstrom, Carl T. (Department of Biology, University of Washington, Seattle, WA 98195-1800, USA.) , Borner, Katy (Indiana University Network Science Institute, Indiana University, Bloomington, IN 47408, USA.) , Evans, James A. (Department of Sociology, University of Chicago, Chicago, IL 60637, USA.) , Helbing, Dirk (Computational Social Science, ETH Zurich, Zurich, Switzerland.) , Milojevišć, Staša (Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.) , Petersen, Alexander M. (Ernest and Julio Gallo Management Program, School of Engineering, University of California, Merced, CA 95343, USA.) , Radicchi, Filippo (Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.) , Sinatra, Roberta (Center for Network Science, Central European University, Budapest 1052, Hungary.) , Uzzi, Brian (Kellogg School of Management, No) , Vespignani, Alessandro , Waltman, Ludo , Wang, Dashun , Barabšćáóási, Albert-Lšćászlšćáó
AI-Helper
The whys and wherefores of SciSciThe science of science (SciSci) is based on a transdisciplinary approach that uses large data sets to study the mechanisms underlying the doing of science—from the choice of a research problem to career trajectories and progress within a field. In a Review, Fo...
Garfield, Eugene. Citation Indexes for Science: A New Dimension in Documentation through Association of Ideas. Science, vol.122, no.3159, 108-111.
10.7312/pric91844 D. J. S. Price Little Science Big Science (Columbia Univ. Press 1963).
Foster, Jacob G., Rzhetsky, Andrey, Evans, James A.. Tradition and Innovation in Scientists’ Research Strategies. American sociological review, vol.80, no.5, 875-908.
J. Informetr. Milojević S. 962 9 2015 10.1016/j.joi.2015.10.005 Quantifying the cognitive extent of science S. Milojević, Quantifying the cognitive extent of science. J. Informetr. 9, 962-973 (2015). 10.1016/j.joi.2015.10.005
Phys. Rev. X Kuhn T. 041036 4 2014 Inheritance patterns in citation networks reveal scientific memes T. Kuhn, M. Perc, D. Helbing, Inheritance patterns in citation networks reveal scientific memes. Phys. Rev. X 4, 041036 (2014). 10.1103/PhysRevX.4.041036
J. Assoc. Inf. Sci. Technol. Klavans R. 984 68 2016 10.1002/asi.23734 Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge? R. Klavans, K. W. Boyack, Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge? J. Assoc. Inf. Sci. Technol. 68, 984-998 (2016). 10.1002/asi.23734
Am. Sociol. Rev. Shwed U. 817 75 2010 10.1177/0003122410388488 The temporal structure of scientific consensus formation U. Shwed, P. S. Bearman, The temporal structure of scientific consensus formation. Am. Sociol. Rev. 75, 817-840 (2010). 10.1177/000312241038848821886269
Bruggeman, Jeroen, Traag, V. A., Uitermark, Justus. Detecting Communities through Network Data. American sociological review, vol.77, no.6, 1050-1063.
Soc. Networks Shi F. 73 43 2015 10.1016/j.socnet.2015.02.006 Weaving the fabric of science: Dynamic network models of science’s unfolding structure F. Shi, J. G. Foster, J. A. Evans, Weaving the fabric of science: Dynamic network models of science’s unfolding structure. Soc. Networks 43, 73-85 (2015). 10.1016/j.socnet.2015.02.006
J. Informetr. Bettencourt L. M. A. 210 3 2009 10.1016/j.joi.2009.03.001 Scientific discovery and topological transitions in collaboration networks L. M. A. Bettencourt, D. I. Kaiser, J. Kaur, Scientific discovery and topological transitions in collaboration networks. J. Informetr. 3, 210-221 (2009). 10.1016/j.joi.2009.03.001
Sci. Rep. Sun X. 1069 3 2013 10.1038/srep01069 Social dynamics of science X. Sun, J. Kaur, S. Milojević, A. Flammini, F. Menczer, Social dynamics of science. Sci. Rep. 3, 1069 (2013). 10.1038/srep0106923323212
10.7208/chicago/9780226217239.001.0001 T. S. Kuhn The Essential Tension: Selected Studies in Scientific Tradition and Change (Univ. of Chicago Press 1977).
Soc. Sci. Inf. (Paris) Bourdieu P. 19 14 1975 10.1177/053901847501400602 The specificity of the scientific field and the social conditions of the progress of reasons P. Bourdieu, The specificity of the scientific field and the social conditions of the progress of reasons. Soc. Sci. Inf. (Paris) 14, 19-47 (1975). 10.1177/053901847501400602
Nat. Hum. Behav. Jia T. 0078 1 2017 10.1038/s41562-017-0078 Quantifying patterns of research-interest evolution T. Jia, D. Wang, B. K. Szymanski, Quantifying patterns of research-interest evolution. Nat. Hum. Behav. 1, 0078 (2017). 10.1038/s41562-017-0078
Proc. Natl. Acad. Sci. U.S.A. Rzhetsky A. 14569 112 2015 10.1073/pnas.1509757112 Choosing experiments to accelerate collective discovery A. Rzhetsky, J. G. Foster, I. T. Foster, J. A. Evans, Choosing experiments to accelerate collective discovery. Proc. Natl. Acad. Sci. U.S.A. 112, 14569-14574 (2015). 10.1073/pnas.150975711226554009
Rosenthal, Robert. The file drawer problem and tolerance for null results.. Psychological bulletin, vol.86, no.3, 638-641.
eLife Nissen S. B. e21451 5 2016 10.7554/eLife.21451 Publication bias and the canonization of false facts S. B. Nissen, T. Magidson, K. Gross, C. T. Bergstrom, Publication bias and the canonization of false facts. eLife 5, e21451 (2016). 10.7554/eLife.2145127995896
Nat. Biotechnol. Yao L. 807 33 2015 10.1038/nbt.3276 Health ROI as a measure of misalignment of biomedical needs and resources L. Yao, Y. Li, S. Ghosh, J. A. Evans, A. Rzhetsky, Health ROI as a measure of misalignment of biomedical needs and resources. Nat. Biotechnol. 33, 807-811 (2015). 10.1038/nbt.327626252133
J. Informetr. Wagner C. S. 14 5 2011 10.1016/j.joi.2010.06.004 Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature C. S. Wagner, J. D. Roessner, K. Bobb, J. T. Klein, K. W. Boyack, J. Keyton, I. Rafols, K. Börner, Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature. J. Informetr. 5, 14-26 (2011). 10.1016/j.joi.2010.06.004
PLOS ONE Larivière V. e0122565 10 2015 10.1371/journal.pone.0122565 Long-distance interdisciplinarity leads to higher scientific impact V. Larivière, S. Haustein, K. Börner, Long-distance interdisciplinarity leads to higher scientific impact. PLOS ONE 10, e0122565 (2015). 10.1371/journal.pone.012256525822658
Manage. Sci. Boudreau K. J. 2765 62 2016 10.1287/mnsc.2015.2285 Looking across and looking beyond the knowledge frontier: Intellectual distance, novelty, and resource allocation in science K. J. Boudreau, E. C. Guinan, K. R. Lakhani, C. Riedl, Looking across and looking beyond the knowledge frontier: Intellectual distance, novelty, and resource allocation in science. Manage. Sci. 62, 2765-2783 (2016). 10.1287/mnsc.2015.228527746512
Soc. Currents Leahey E. 228 1 2014 10.1177/2329496514540131 Sociological innovation through subfield integration E. Leahey, J. Moody, Sociological innovation through subfield integration. Soc. Currents 1, 228-256 (2014). 10.1177/2329496514540131
PLOS ONE Yegros-Yegros A. e0135095 10 2015 10.1371/journal.pone.0135095 Does interdisciplinary research lead to higher citation impact? The different effect of proximal and distal interdisciplinarity A. Yegros-Yegros, I. Rafols, P. D’Este, Does interdisciplinary research lead to higher citation impact? The different effect of proximal and distal interdisciplinarity. PLOS ONE 10, e0135095 (2015). 10.1371/journal.pone.013509526266805
Nature Bromham L. 684 534 2016 10.1038/nature18315 Interdisciplinary research has consistently lower funding success L. Bromham, R. Dinnage, X. Hua, Interdisciplinary research has consistently lower funding success. Nature 534, 684-687 (2016). 10.1038/nature1831527357795
EPJ Data Sci. Kim D. 8 5 2016 10.1140/epjds/s13688-016-0069-1 Technological novelty profile and inventions future impact D. Kim, D. B. Cerigo, H. Jeong, H. Youn, Technological novelty profile and inventions future impact. EPJ Data Sci. 5, 8 (2016). 10.1140/epjds/s13688-016-0069-1
Uzzi, Brian, Mukherjee, Satyam, Stringer, Michael, Jones, Ben. Atypical Combinations and Scientific Impact. Science, vol.342, no.6157, 468-472.
10.3386/w22180 J. Wang R. Veugelers P. Stephan “Bias against novelty in science: A cautionary tale for users of bibliometric indicators” (NBER Working Paper No. 22180 National Bureau of Economic Research 2016).
Res. Policy Walsh J. P. 1584 44 2015 10.1016/j.respol.2015.04.010 The bureaucratization of science J. P. Walsh, Y.-N. Lee, The bureaucratization of science. Res. Policy 44, 1584-1600 (2015). 10.1016/j.respol.2015.04.010
Proc. Natl. Acad. Sci. U.S.A. Petersen A. M. 5213 109 2012 10.1073/pnas.1121429109 Persistence and uncertainty in the academic career A. M. Petersen, M. Riccaboni, H. E. Stanley, F. Pammolli, Persistence and uncertainty in the academic career. Proc. Natl. Acad. Sci. U.S.A. 109, 5213-5218 (2012). 10.1073/pnas.112142910922431620
10.4159/harvard.9780674062757 P. E. Stephan How Economics Shapes Science (Harvard Univ. Press 2012).
Rand J. Econ. Azoulay P. 527 42 2011 10.1111/j.1756-2171.2011.00140.x Incentives and creativity: Evidence from the academic life sciences P. Azoulay, J. S. Graff Zivin, G. Manso, Incentives and creativity: Evidence from the academic life sciences. Rand J. Econ. 42, 527-554 (2011). 10.1111/j.1756-2171.2011.00140.x
Freeman, Richard, Weinstein, Eric, Marincola, Elizabeth, Rosenbaum, Janet, Solomon, Frank. Competition and Careers in Biosciences. Science, vol.294, no.5550, 2293-2294.
Evans, James A., Foster, Jacob G.. Metaknowledge. Science, vol.331, no.6018, 721-725.
Nature Larivière V. 211 504 2013 10.1038/504211a Bibliometrics: Global gender disparities in science V. Larivière, C. Ni, Y. Gingras, B. Cronin, C. R. Sugimoto, Bibliometrics: Global gender disparities in science. Nature 504, 211-213 (2013). 10.1038/504211a24350369
S. F. Way D. B. Larremore A. Clauset in Proceedings of the 25th International Conference on World Wide Web (WWW ‘16) (ACM 2016) pp. 1169-1179.
PLOS ONE Duch J. e51332 7 2012 10.1371/journal.pone.0051332 The possible role of resource requirements and academic career-choice risk on gender differences in publication rate and impact J. Duch, X. H. T. Zeng, M. Sales-Pardo, F. Radicchi, S. Otis, T. K. Woodruff, L. A. Nunes Amaral, The possible role of resource requirements and academic career-choice risk on gender differences in publication rate and impact. PLOS ONE 7, e51332 (2012). 10.1371/journal.pone.005133223251502
PLOS ONE West J. D. e66212 8 2013 10.1371/journal.pone.0066212 The role of gender in scholarly authorship J. D. West, J. Jacquet, M. M. King, S. J. Correll, C. T. Bergstrom, The role of gender in scholarly authorship. PLOS ONE 8, e66212 (2013). 10.1371/journal.pone.006621223894278
PLOS Biol. Zeng X. H. T. e1002573 14 2016 10.1371/journal.pbio.1002573 Differences in collaboration patterns across discipline, career stage, and gender X. H. T. Zeng, J. Duch, M. Sales-Pardo, J. A. G. Moreira, F. Radicchi, H. V. Ribeiro, T. K. Woodruff, L. A. N. Amaral, Differences in collaboration patterns across discipline, career stage, and gender. PLOS Biol. 14, e1002573 (2016). 10.1371/journal.pbio.100257327814355
Ley, Timothy J., Hamilton, Barton H.. The Gender Gap in NIH Grant Applications. Science, vol.322, no.5907, 1472-1474.
Proc. Natl. Acad. Sci. U.S.A. Moss-Racusin C. A. 16474 109 2012 10.1073/pnas.1211286109 Science faculty’s subtle gender biases favor male students C. A. Moss-Racusin, J. F. Dovidio, V. L. Brescoll, M. J. Graham, J. Handelsman, Science faculty’s subtle gender biases favor male students. Proc. Natl. Acad. Sci. U.S.A. 109, 16474-16479 (2012). 10.1073/pnas.121128610922988126
Nature Van Noorden R. 326 490 2012 10.1038/490326a Global mobility: Science on the move R. Van Noorden, Global mobility: Science on the move. Nature 490, 326-329 (2012). 10.1038/490326a23075963
Doria Arrieta, Omar A., Pammolli, Fabio, Petersen, Alexander M.. Quantifying the negative impact of brain drain on the integration of European science. Science advances, vol.3, no.4, e1602232-.
Econ. Lett. Franzoni C. 89 122 2014 10.1016/j.econlet.2013.10.040 The mover’s advantage: The superior performance of migrant scientists C. Franzoni, G. Scellato, P. Stephan, The mover’s advantage: The superior performance of migrant scientists. Econ. Lett. 122, 89-93 (2014). 10.1016/j.econlet.2013.10.040
Nature Sugimoto C. R. 29 550 2017 10.1038/550029a Scientists have most impact when they’re free to move C. R. Sugimoto, N. Robinson-Garcia, D. S. Murray, A. Yegros-Yegros, R. Costas, V. Larivière, Scientists have most impact when they’re free to move. Nature 550, 29-31 (2017). 10.1038/550029a28980663
Clauset, Aaron, Arbesman, Samuel, Larremore, Daniel B.. Systematic inequality and hierarchy in faculty hiring networks. Science advances, vol.1, no.1, e1400005-.
Sci. Rep. Deville P. 4770 4 2014 10.1038/srep04770 Career on the move: Geography, stratification, and scientific impact P. Deville, D. Wang, R. Sinatra, C. Song, V. D. Blondel, A. L. Barabási, Career on the move: Geography, stratification, and scientific impact. Sci. Rep. 4, 4770 (2014). 24759743
Proc. Natl. Acad. Sci. U.S.A. Petersen A. M. 15316 111 2014 10.1073/pnas.1323111111 Reputation and impact in academic careers A. M. Petersen, S. Fortunato, R. K. Pan, K. Kaski, O. Penner, A. Rungi, M. Riccaboni, H. E. Stanley, F. Pammolli, Reputation and impact in academic careers. Proc. Natl. Acad. Sci. U.S.A. 111, 15316-15321 (2014). 10.1073/pnas.132311111125288774
Psychol. Rev. Simonton D. K. 66 104 1997 10.1037/0033-295X.104.1.66 Creative productivity: A predictive and explanatory model of career trajectories and landmarks D. K. Simonton, Creative productivity: A predictive and explanatory model of career trajectories and landmarks. Psychol. Rev. 104, 66-89 (1997). 10.1037/0033-295X.104.1.66
Sinatra, Roberta, Wang, Dashun, Deville, Pierre, Song, Chaoming, Barabási, Albert-László. Quantifying the evolution of individual scientific impact. Science, vol.354, no.6312, aaf5239-aaf5239.
Wuchty, Stefan, Jones, Benjamin F., Uzzi, Brian. The Increasing Dominance of Teams in Production of Knowledge. Science, vol.316, no.5827, 1036-1039.
N. J. Cooke M. L. Hilton Eds. Enhancing the Effectiveness of Team Science (National Academies Press 2015).
Larivière, Vincent, Gingras, Yves, Sugimoto, Cassidy R., Tsou, Andrew. Team size matters: Collaboration and scientific impact since 1900. Journal of the Association for Information Science and Technology, vol.66, no.7, 1323-1332.
10.2139/ssrn.3034125 L. Wu D. Wang J. A. Evans Large teams have developed science and technology; small teams have disrupted it. arXiv:1709.02445 [physics.soc-ph] (7 September 2017).
Rev. Econ. Stud. Jones B. F. 283 76 2009 10.1111/j.1467-937X.2008.00531.x The burden of knowledge and the “death of the renaissance man”: Is innovation getting harder? B. F. Jones, The burden of knowledge and the “death of the renaissance man”: Is innovation getting harder? Rev. Econ. Stud. 76, 283-317 (2009). 10.1111/j.1467-937X.2008.00531.x
Proc. Natl. Acad. Sci. U.S.A. Milojević S. 3984 111 2014 10.1073/pnas.1309723111 Principles of scientific research team formation and evolution S. Milojević, Principles of scientific research team formation and evolution. Proc. Natl. Acad. Sci. U.S.A. 111, 3984-3989 (2014). 10.1073/pnas.130972311124591626
Nature Palla G. 664 446 2007 10.1038/nature05670 Quantifying social group evolution G. Palla, A.-L. Barabási, T. Vicsek, Quantifying social group evolution. Nature 446, 664-667 (2007). 10.1038/nature0567017410175
Rev. Econ. Stat. Borjas G. J. 1104 97 2015 10.1162/REST_a_00472 Which peers matter? The relative impacts of collaborators, colleagues, and competitors G. J. Borjas, K. B. Doran, Which peers matter? The relative impacts of collaborators, colleagues, and competitors. Rev. Econ. Stat. 97, 1104-1117 (2015). 10.1162/REST_a_00472
Q. J. Econ. Azoulay P. 549 125 2010 10.1162/qjec.2010.125.2.549 Superstar extinction P. Azoulay, J. G. Zivin, J. Wang, Superstar extinction. Q. J. Econ. 125, 549-589 (2010). 10.1162/qjec.2010.125.2.549
Proc. Natl. Acad. Sci. U.S.A. Petersen A. M. E4671 112 2015 10.1073/pnas.1501444112 Quantifying the impact of weak, strong, and super ties in scientific careers A. M. Petersen, Quantifying the impact of weak, strong, and super ties in scientific careers. Proc. Natl. Acad. Sci. U.S.A. 112, E4671-E4680 (2015). 10.1073/pnas.150144411226261301
Merton, Robert K.. The Matthew Effect in Science : The reward and communication systems of science are considered. Science, vol.159, no.3810, 56-63.
Nature Allen L. 312 508 2014 10.1038/508312a Publishing: Credit where credit is due L. Allen, J. Scott, A. Brand, M. Hlava, M. Altman, Publishing: Credit where credit is due. Nature 508, 312-313 (2014). 10.1038/508312a24745070
Proc. Natl. Acad. Sci. U.S.A. Shen H.-W. 12325 111 2014 10.1073/pnas.1401992111 Collective credit allocation in science H.-W. Shen, A.-L. Barabási, Collective credit allocation in science. Proc. Natl. Acad. Sci. U.S.A. 111, 12325-12330 (2014). 10.1073/pnas.140199211125114238
J. Informetr. Waltman L. 365 10 2016 10.1016/j.joi.2016.02.007 A review of the literature on citation impact indicators L. Waltman, A review of the literature on citation impact indicators. J. Informetr. 10, 365-391 (2016). 10.1016/j.joi.2016.02.007
Proc. Natl. Acad. Sci. U.S.A. Hirsch J. E. 16569 102 2005 10.1073/pnas.0507655102 An index to quantify an individual’s scientific research output J. E. Hirsch, An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. U.S.A. 102, 16569-16572 (2005). 10.1073/pnas.050765510216275915
H. F. Moed Citation Analysis in Research Evaluation (Springer 2010).
Garfield, Eugene. Citation Analysis as a Tool in Journal Evaluation : Journals can be ranked by frequency and impact of citations for science policy studies. Science, vol.178, no.4060, 471-479.
Science de Solla Price D. J. 510 149 1965 10.1126/science.149.3683.510 Networks of scientific papers D. J. de Solla Price, Networks of scientific papers. Science 149, 510-515 (1965). 10.1126/science.149.3683.51014325149
Sci. Rep. Zhang Q. 1640 3 2013 10.1038/srep01640 Characterizing scientific production and consumption in physics Q. Zhang, N. Perra, B. Gonçalves, F. Ciulla, A. Vespignani, Characterizing scientific production and consumption in physics. Sci. Rep. 3, 1640 (2013). 10.1038/srep0164023571320
Proc. Natl. Acad. Sci. U.S.A. Radicchi F. 17268 105 2008 10.1073/pnas.0806977105 Universality of citation distributions: Toward an objective measure of scientific impact F. Radicchi, S. Fortunato, C. Castellano, Universality of citation distributions: Toward an objective measure of scientific impact. Proc. Natl. Acad. Sci. U.S.A. 105, 17268-17272 (2008). 10.1073/pnas.080697710518978030
J. Assoc. Inf. Sci. Technol. Waltman L. 72 63 2012 10.1002/asi.21671 Universality of citation distributions revisited L. Waltman, N. J. van Eck, A. F. J. van Raan, Universality of citation distributions revisited. J. Assoc. Inf. Sci. Technol. 63, 72-77 (2012). 10.1002/asi.21671
Eur. Phys. J. Spec. Top. Golosovsky M. 303 205 2012 10.1140/epjst/e2012-01576-4 Runaway events dominate the heavy tail of citation distributions M. Golosovsky, S. Solomon, Runaway events dominate the heavy tail of citation distributions. Eur. Phys. J. Spec. Top. 205, 303-311 (2012). 10.1140/epjst/e2012-01576-4
J. Informetr. Stegehuis C. 642 9 2015 10.1016/j.joi.2015.06.005 Predicting the long-term citation impact of recent publications C. Stegehuis, N. Litvak, L. Waltman, Predicting the long-term citation impact of recent publications. J. Informetr. 9, 642-657 (2015). 10.1016/j.joi.2015.06.005
J. Informetr. Thelwall M. 336 10 2016 10.1016/j.joi.2015.12.007 The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression M. Thelwall, The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression. J. Informetr. 10, 336-346 (2016). 10.1016/j.joi.2015.12.007
J. Am. Soc. Inf. Sci. de Solla Price D. 292 27 1976 10.1002/asi.4630270505 A general theory of bibliometric and other cumulative advantage processes D. de Solla Price, A general theory of bibliometric and other cumulative advantage processes. J. Am. Soc. Inf. Sci. 27, 292-306 (1976). 10.1002/asi.4630270505
Barabási, Albert-László, Albert, Réka. Emergence of Scaling in Random Networks. Science, vol.286, no.5439, 509-512.
J. Informetr. Parolo P. D. B. 734 9 2015 10.1016/j.joi.2015.07.006 Attention decay in science P. D. B. Parolo, R. K. Pan, R. Ghosh, B. A. Huberman, K. Kaski, S. Fortunato, Attention decay in science. J. Informetr. 9, 734-745 (2015). 10.1016/j.joi.2015.07.006
Wang, Dashun, Song, Chaoming, Barabási, Albert-László. Quantifying Long-Term Scientific Impact. Science, vol.342, no.6154, 127-132.
PLOS ONE Eom Y.-H. e24926 6 2011 10.1371/journal.pone.0024926 Characterizing and modeling citation dynamics Y.-H. Eom, S. Fortunato, Characterizing and modeling citation dynamics. PLOS ONE 6, e24926 (2011). 10.1371/journal.pone.002492621966387
Phys. Rev. Lett. Golosovsky M. 098701 109 2012 10.1103/PhysRevLett.109.098701 Stochastic dynamical model of a growing citation network based on a self-exciting point process M. Golosovsky, S. Solomon, Stochastic dynamical model of a growing citation network based on a self-exciting point process. Phys. Rev. Lett. 109, 098701 (2012). 10.1103/PhysRevLett.109.09870123002894
Scientometrics van Raan A. F. J. 467 59 2004 10.1023/B:SCIE.0000018543.82441.f1 Sleeping Beauties in science A. F. J. van Raan, Sleeping Beauties in science. Scientometrics 59, 467-472 (2004). 10.1023/B:SCIE.0000018543.82441.f1
Proc. Natl. Acad. Sci. U.S.A. Ke Q. 7426 112 2015 10.1073/pnas.1424329112 Defining and identifying Sleeping Beauties in science Q. Ke, E. Ferrara, F. Radicchi, A. Flammini, Defining and identifying Sleeping Beauties in science. Proc. Natl. Acad. Sci. U.S.A. 112, 7426-7431 (2015). 10.1073/pnas.142432911226015563
Scientometrics Tahamtan I. 1195 107 2016 10.1007/s11192-016-1889-2 Factors affecting number of citations: A comprehensive review of the literature I. Tahamtan, A. Safipour Afshar, K. Ahamdzadeh, Factors affecting number of citations: A comprehensive review of the literature. Scientometrics 107, 1195-1225 (2016). 10.1007/s11192-016-1889-2
Proc. Natl. Acad. Sci. U.S.A. Hirsch J. E. 19193 104 2007 10.1073/pnas.0707962104 Does the h index have predictive power? J. E. Hirsch, Does the h index have predictive power? Proc. Natl. Acad. Sci. U.S.A. 104, 19193-19198 (2007). 10.1073/pnas.070796210418040045
Nature Acuna D. E. 201 489 2012 10.1038/489201a Future impact: Predicting scientific success D. E. Acuna, S. Allesina, K. P. Kording, Future impact: Predicting scientific success. Nature 489, 201-202 (2012). 10.1038/489201a22972278
Sci. Rep. Penner O. 3052 3 2013 10.1038/srep03052 On the predictability of future impact in science O. Penner, R. K. Pan, A. M. Petersen, K. Kaski, S. Fortunato, On the predictability of future impact in science. Sci. Rep. 3, 3052 (2013). 10.1038/srep0305224165898
J. R. Cole H. Zuckerman in The Idea of Social Structure: Papers in Honor of Robert K. Merton L. A. Coser Ed. (Harcourt Brace Jovanovich 1975) pp. 139-174.
Nature Azoulay P. 31 484 2012 10.1038/484031a Research efficiency: Turn the scientific method on ourselves P. Azoulay, Research efficiency: Turn the scientific method on ourselves. Nature 484, 31-32 (2012). 10.1038/484031a22481340
Prof. Inf. Thelwall M. 587 24 2015 Web indicators for research evaluation. Part 1: Citations and links to academic articles from the Web M. Thelwall, K. Kousha, Web indicators for research evaluation. Part 1: Citations and links to academic articles from the Web. Prof. Inf. 24, 587-606 (2015). 10.3145/epi.2015.sep.08
Prof. Inf. Thelwall M. 607 24 2015 Web indicators for research evaluation. Part 2: Social media metrics M. Thelwall, K. Kousha, Web indicators for research evaluation. Part 2: Social media metrics. Prof. Inf. 24, 607-620 (2015). 10.3145/epi.2015.sep.09
Adv. Inf. Sci. Bornmann L. 217 64 2013 What is societal impact of research and how can it be assessed? A literature survey L. Bornmann, What is societal impact of research and how can it be assessed? A literature survey. Adv. Inf. Sci. 64, 217-233 (2013).
Res. Policy Haeussler C. 465 43 2014 10.1016/j.respol.2013.08.017 Specific and general information sharing among competing academic researchers C. Haeussler, L. Jiang, J. Thursby, M. Thursby, Specific and general information sharing among competing academic researchers. Res. Policy 43, 465-475 (2014). 10.1016/j.respol.2013.08.017
Nature Oettl A. 496 489 2012 10.1038/489496a Sociology: Honour the helpful A. Oettl, Sociology: Honour the helpful. Nature 489, 496-497 (2012). 10.1038/489496a23018949
S. Ravindran “Getting credit for peer review ” Science 8 February 2016; www.sciencemag.org/careers/2016/02/getting-credit-peer-review.
J. Assoc. Inf. Sci. Technol. Costas R. 2003 66 2015 10.1002/asi.23309 Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective R. Costas, Z. Zahedi, P. Wouters, Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. J. Assoc. Inf. Sci. Technol. 66, 2003-2019 (2015). 10.1002/asi.23309
Clauset, Aaron, Larremore, Daniel B., Sinatra, Roberta. Data-driven predictions in the science of science. Science, vol.355, no.6324, 477-480.
Lancet Wessely S. 301 352 1998 10.1016/S0140-6736(97)11129-1 Peer review of grant applications: What do we know? S. Wessely, Peer review of grant applications: What do we know? Lancet 352, 301-305 (1998). 10.1016/S0140-6736(97)11129-19690424
N. Geard J. Noble paper presented at the 3rd World Congress on Social Simulation Kassel Germany 6 to 9 September 2010.
Nature 1002 468 2010 10.1038/4681002a Calm in a crisis Calm in a crisis. Nature 468, 1002 (2010). 10.1038/4681002a21170024
Sci. Technol. Human Values Roy R. 73 10 1985 10.1177/016224398501000309 Funding science: The real defects of peer review and an alternative to it R. Roy, Funding science: The real defects of peer review and an alternative to it. Sci. Technol. Human Values 10, 73-81 (1985). 10.1177/016224398501000309
Scientometrics Bollen J. 521 110 2017 10.1007/s11192-016-2110-3 An efficient system to fund science: From proposal review to peer-to-peer distributions J. Bollen, D. Crandall, D. Junk, Y. Ding, K. Börner, An efficient system to fund science: From proposal review to peer-to-peer distributions. Scientometrics 110, 521-528 (2017). 10.1007/s11192-016-2110-3
Yearb. Med. Inform. Kohn M. S. 154 9 2014 IBM’s health analytics and clinical decision support M. S. Kohn, J. Sun, S. Knoop, A. Shabo, B. Carmeli, D. Sow, T. Syed-Mahmood, W. Rapp, IBM’s health analytics and clinical decision support. Yearb. Med. Inform. 9, 154-162 (2014). 10.15265/IY-2014-000225123736
10.3386/w23180 J. Kleinberg H. Lakkaraju J. Leskovec J. Ludwig S. Mullainathan “Human decisions and machine predictions” (National Bureau of Economic Research 2017).
PLOS ONE Liu B. e0144945 11 2016 10.1371/journal.pone.0144945 Do emotions expressed online correlate with actual changes in decision-making?: The case of stock day traders B. Liu, R. Govindan, B. Uzzi, Do emotions expressed online correlate with actual changes in decision-making?: The case of stock day traders. PLOS ONE 11, e0144945 (2016). 10.1371/journal.pone.014494526765539
Newman, M. E. J.. The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences of the United States of America, vol.98, no.2, 404-409.
Guimerà, Roger, Uzzi, Brian, Spiro, Jarrett, Nunes Amaral, Luís A.. Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance. Science, vol.308, no.5722, 697-702.
Stringer, Michael J., Sales-Pardo, Marta, Nunes Amaral, Luís A.. Effectiveness of Journal Ranking Schemes as a Tool for Locating Information. PloS one, vol.3, no.2, e1683-.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.