Inequality and cumulative advantage in science careers: A case study of high-impact journals

EPJ Data Science

Volumn 3, Issue 1, 2014, Pages

  Petersen, Alexander M ^a   Penner, Orion ^a  

^a IMT SCHOOL FOR ADVANCED STUDIES LUCCA   (Italy)

Author keywords

Career growth; Citation analysis; Computational sociology; Matthew effect; Reputation; Science of science; Success premium

Indexed keywords

DEVELOPING COUNTRIES; EMPLOYMENT; INFORMATION ANALYSIS; PETROLEUM RESERVOIR EVALUATION; PRODUCTIVITY;

CITATION ANALYSIS; COMPUTATIONAL SOCIOLOGY; MATTHEW EFFECTS; REPUTATION; SCIENCE OF SCIENCE; SUCCESS PREMIUM;

PUBLISHING;

EID: 84930627364     PISSN: None     EISSN: 21931127     Source Type: Journal    
DOI: 10.1140/epjds/s13688-014-0024-y     Document Type: Article

References (61)

1. Stephan P (2012) How economics shapes science. Harvard University Press, Cambridge
2. Schillebeeckx M, Maricque B, Lewis C (2013) The missing piece to changing the university culture. Nat Biotechnol 31(10):938-941
3. Petersen AM, Pavlidis I, Semendeferi I (2014) A quantitative perspective on ethics in large team science. Sci Eng Ethics. doi:10.1007/s11948-014-9562-8
4. Weinberg BA, Owen-Smith J, Rosen RF, Schwarz L, Allen BM, Weiss RE, Lane J (2014) Science funding and short-term economic activity. Science 344(6179):41-43
5. Alberts B, Kirschner MW, Tilghman S, Varmus H (2014) Rescuing us biomedical research from its systemic flaws. Proc Natl Acad Sci USA 111:5773-5777
6. Schekman R (2013) How journals like Nature, Cell, and Science are damaging science. Guardian 12/09/2013
7. Xie Y (2014) ‘Undemocracy’: inequalities in science. Science 344:809-810
8. Couzin-Frankel J (2014) Chasing the money. Science 344:24-25
9. Maher B (2008) Poll results: look who’s doping. Nature 452:674-675
10. Committee on the Conduct of Science (1989) On being a scientist. Proc Natl Acad Sci USA 86(23):9053-9074
11. Committee on Science, Engineering, and Public Policy, National Academy of Sciences, National Academy of Engineering, and Institute of Medicine (2009) On being a scientist: a guide to responsible conduct in research, 3rd edn. The National Academies Press, Washington
12. Fang FC, Steen RG, Casadevall A (2012) Misconduct accounts for the majority of retracted scientific publications. Proc Natl Acad Sci USA 109(42):17028-17033
13. Martinson BC, Anderson MS, De Vries R (2005) Scientists behaving badly. Nature 435:737-738
14. Martinson BC, Anderson MS, Crain AL, De Vries R (2006) Scientists’ perceptions of organizational justice and self-reported misbehaviors. J Empir Res Hum Res Ethics 1:51-66
15. Anderson MS, Ronning EA, De Vries R, Martinson BC (2007) The perverse effects of competition on scientists’ work and relationships. Sci Eng Ethics 13:437-461
16. Martinson BC (2011) The academic birth rate. EMBO Rep 12(8):758-762
17. Freeman R, Weinstein E, Marincola E, Rosenbaum J, Solomon F (2001) Competition and careers in biosciences. Science 294:2293-2294
18. Petersen AM, Riccaboni M, Stanley HE, Pammolli F (2012) Persistence and uncertainty in the academic career. Proc Natl Acad Sci USA 109:5213-5218
19. Committee on Science, Engineering, and Public Policy (2014) The arc of the academic research career issues and implications for U.S. science and engineering leadership, The National Academies Press, Washington
20. Janger J, Nowotny K (2013) Career choices in academia. Welfare wealth work for Europe working paper. http://www.foreurope.eu/fileadmin/documents/pdf/Workingpapers/WWWforEurope_WPS_no036_MS64.pdf
21. Janger J, Strauss A, Campbell DFJ (2013) Academic careers: a cross-country perspective. Welfare wealth work for Europe working paper. http://ideas.repec.org/p/feu/wfewop/y2013m8d0i37.html
22. Wuchty S, Jones BF, Uzzi B (2007) The increasing dominance of teams in production of knowledge. Science 316(5827):1036-1039
23. Uzzi B, Mukherjee S, Stringer M, Jones B (2013) Atypical combinations and scientific impact. Science 342:468-472
24. Merton RK (1968) The Matthew effect in science. Science 159:56-63
25. Petersen AM, Jung W-S, Yang J-S, Stanley HE (2011) Quantitative and empirical demonstration of the Matthew effect in a study of career longevity. Proc Natl Acad Sci USA 108(1):18-23
26. Petersen AM, Fortunato S, Pan RK, Kaski K, Penner O, Rungi A, Riccaboni M, Stanley HE, Pammolli F (2014) Reputation and impact in academic careers. Proc Natl Acad Sci USA. doi:10.1073/pnas.1323111111
27. Sarigl E, Pfitzner R, Scholtes I, Garas A, Schweitzer F (2014) Predicting scientific success based on coauthorship networks. EPJ Data Sci 2014:9
28. Azoulay P, Stuart T, Wang YM (2014) Effect or fable? Manag Sci 60:92-109
29. Duch J, Zeng XHT, Sales-Pardo M, Radicchi F, Otis S, Woodruff TK, Amaral LAN (2012) The possible role of resource requirements and academic career-choice risk on gender differences in publication rate and impact. PLoS ONE 125:51332
30. Azoulay P, Zivin JSG, Wang J (2010) Superstar extinction. Q J Econ 125:549-589
31. Cole JR (1981) Social stratification in science. The University of Chicago Press, Chicago
32. Jones BF, Wuchty S, Uzzi B (2008) Multi-university research teams: shifting impact, geography, and stratification in science. Science 322(5905):1259-1262
33. Deville P, Wang D, Sinatra R, Song C, Blondel VD, Barabasi A-L (2014) Career on the move: geography, stratification, and scientific impact. Sci Rep 4:4770
34. van de Rijt A, Kang SM, Restivo M, Patil A (2014) Field experiments of success-breeds-success dynamics. Proc Natl Acad Sci USA 111:6934-6939
35. Milojevic S (2013) Accuracy of simple, initials-based methods for author name disambiguation. J Informetr 7:767-773
36. Radicchi F, Fortunato S, Castellano C (2008) Universality of citation distributions: toward an objective measure of scientific impact. Proc Natl Acad Sci USA 105:17268-17272
37. Radicchi F, Castellano C (2012) A reverse engineering approach to the suppression of citation biases reveals universal properties of citation distributions. PLoS ONE 7:33833
38. Petersen AM, Wang F, Stanley HE (2010) Methods for measuring the citations and productivity of scientists across time and discipline. Phys Rev E 81:036114
39. Radicchi F, Castellano C (2011) Rescaling citations of publications in physics. Phys Rev E 83:046116
40. Petersen AM, Penner O, Stanley HE (2011) Methods for detrending success metrics to account for inflationary and deflationary factors. Eur Phys J B 79:67-78
41. David PA (2008) The historical origins of ‘open science’: an essay on patronage, reputation and common agency contracting in the scientific revolution. Capital Soc 3:5
42. Fu D, Pammolli F, Buldyrev SV, Riccaboni M, Matia K, Yamasaki K, Stanley HE (2005) The growth of business firms: theoretical framework and empirical evidence. Proc Natl Acad Sci USA 102:18801-18806
43. Chin G, Culotta E (2014) The science of inequality: what the numbers tell us. Science 344:819-821
44. Franzoni C, Scellato G, Stephan P (2011) Changing incentives to publish. Science 333(6043):702-703
45. Penner O, Petersen AM, Pan RK, Fortunato S (2013) Commentary: the case for caution in predicting scientists’ future impact. Phys Today 66(4):8-9
46. Penner O, Pan RK, Petersen AM, Fortunato S (2013) On the predictability of future impact in science. Sci Rep 3:3052
47. Acuna DE, Penner O, Orton CG (2013) Point/counterpoint: the future h-index is an excellent way to predict scientists’ future impact. Med Phys 40(11):110601
48. Petersen AM, Succi S (2013) The Z-index: a geometric representation of productivity and impact which accounts for information in the entire rank-citation profile. J Informetr 7(4):823-832
49. Petersen AM, Stanley HE, Succi S (2011) Statistical regularities in the rank-citation profile of scientists. Sci Rep 1:181
50. Radicchi F, Fortunato S, Markines B, Vespignani A (2009) Diffusion of scientific credits and the ranking of scientists. Phys Rev E 80:056103
51. Kleinberg J, Oren S (2011) Mechanisms for (mis)allocating scientific credit. In: Proceedings of the forty-third annual ACM symposium on theory of computing. STOC ’11. ACM, New York, pp 529-538
52. Denrell J, Liu C (2012) Top performers are not the most impressive when extreme performance indicates unreliability. Proc Natl Acad Sci USA 109:9331-9336
53. Levin SG, Stephan PE (1991) Research productivity over the life cycle: evidence for academic scientists. Am Econ Rev 81:114-132
54. Stephan PE, Levin SG (1993) Age and the Nobel prize revisited. Scientometrics 28:387-399
55. Jones BF, Weinberg BA (2011) Age dynamics in scientific creativity. Proc Natl Acad Sci USA 108:18910-18914
56. Horlings E, Gurney T (2013) Search strategies along the academic lifecycle. Scientometrics 94:1137-1160
57. Jones BF, Reedy EJ, Weinberg BA (2014) Age and scientific genius. NBER working paper, 19866
58. Cyranoski D, Gilbert N, Ledford H, Nayar A, Yahia M (2011) Education: the PhD factory. Nature 472:276-279
59. Lai R, D’Amour A, Yu A, Sun Y, Torvik V, Fleming L (2011) Disambiguation and co-authorship networks of the US patent inventor database, vol 2138. Harvard Institute for Quantitative Social Science, Cambridge
60. Schulz C, Mazloumian A, Petersen AM, Penner O, Helbing D (2014) Exploiting citation networks for large-scale author name disambiguation. EPJ Data Sci 2014:11
61. Mazloumian A (2012) Predicting scholars’ scientific impact. PLoS ONE 7(11):49246