The DOI matches its Crossref record.
Networks of Scientific Papers: The pattern of bibliographic references indicates the nature of the scientific research front.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010
Bibliometric Methods in Management and Organization
Zupic, I., & Čater, T. (2015) · Organizational Research Methods · doi:10.1177/1094428114562629 · Cited by 7,495
Finding community structure in very large networks
Clauset, A., Newman, M. E. J., & Moore, C. (2004) · Physical Review E · doi:10.1103/physreve.70.066111 · Cited by 7,390
Newman (2005) · doi:10.1080/00107510500052444 · Cited by 5,749
Maps of random walks on complex networks reveal community structure
Rosvall, M., & Bergstrom, C. T. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706851105 · Cited by 4,583
Garfield, E. (1972) · Science · doi:10.1126/science.178.4060.471 · Cited by 2,788
Searching for intellectual turning points: progressive knowledge domain visualization
Chen, C. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307513100 · Cited by 2,791
Dannefer, D. (2003) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/58.6.s327 · Cited by 2,091
DiPrete, T. A., & Eirich, G. M. (2006) · Annual Review of Sociology · doi:10.1146/annurev.soc.32.061604.123127 · Cited by 2,069
The Wealth of Networks: How Social Production Transforms Markets and Freedom
(2006) · Choice Reviews Online · doi:10.5860/choice.44-0999 · Cited by 1,903
Bornmann, L., & Mutz, R. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23329 · Cited by 1,576
Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., Radicchi, F., Sinatra, R., Uzzi, B., et al. (2018) · Science · doi:10.1126/science.aao0185 · Cited by 1,497
Constructing bibliometric networks: A comparison between full and fractional counting
Perianes-Rodriguez, A., Waltman, L., & van Eck, N. J. (2016) · Journal of Informetrics · doi:10.1016/j.joi.2016.10.006 · Cited by 1,416
Web of Science as a Data Source for Research on Scientific and Scholarly Activity
Birkle, C., Pendlebury, D. A., Schnell, J., & Adams, J. (2020) · Quantitative Science Studies · doi:10.1162/qss_a_00018 · Cited by 1,283
Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories
Aksnes, D. W., Langfeldt, L., & Wouters, P. (2019) · Sage Open · doi:10.1177/2158244019829575 · Cited by 1,257
Organizing knowledge syntheses: A taxonomy of literature reviews
Cooper, H. M. (1988) · Knowledge in Society · doi:10.1007/bf03177550 · Cited by 1,014
A Review of Theory and Practice in Scientometrics
Mingers, J., & Leydesdorff, L. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.04.002 · Cited by 1,002
Broido, A. D., & Clauset, A. (2019) · Nature Communications · doi:10.1038/s41467-019-08746-5 · Cited by 875
The development of human functional brain networks
Power, J. D., Fair, D. A., Schlaggar, B. L., & Petersen, S. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.017 · Cited by 751
Quantifying Long-Term Scientific Impact
Wang, D., Song, C., & Barabási, A.-L. (2013) · Science · doi:10.1126/science.1237825 · Cited by 753
Coevolution of Strategy and Structure in Complex Networks with Dynamical Linking
Pacheco, J. M., Traulsen, A., & Nowak, M. A. (2006) · Physical Review Letters · doi:10.1103/physrevlett.97.258103 · Cited by 697
GABAergic Hub Neurons Orchestrate Synchrony in Developing Hippocampal Networks
Bonifazi, P., Goldin, M., Picardo, M. A., Jorquera, I., Cattani, A., Bianconi, G., Represa, A., Ben-Ari, Y., & Cossart, R. (2009) · Science · doi:10.1126/science.1175509 · Cited by 695
Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?
Toubia, O., & Stephen, A. T. (2013) · Marketing Science · doi:10.1287/mksc.2013.0773 · Cited by 484
Finding scientific gems with Google’s PageRank algorithm
Chen, P., Xie, H., Maslov, S., & Redner, S. (2007) · Journal of Informetrics · doi:10.1016/j.joi.2006.06.001 · Cited by 483
Citation Statistics from 110 Years of Physical Review
Redner, S. (2005) · Physics Today · doi:10.1063/1.1996475 · Cited by 426
Citation Indexing for Studying Science
GARFIELD, E. (1970) · Nature · doi:10.1038/227669a0 · Cited by 391
Electronic Publication and the Narrowing of Science and Scholarship
Evans, J. A. (2008) · Science · doi:10.1126/science.1150473 · Cited by 364
Leydesdorff, L. (1998) · Scientometrics · doi:10.1007/bf02458391 · Cited by 347
Men Set Their Own Cites High: Gender and Self-citation across Fields and over Time
King, M. M., Bergstrom, C. T., Correll, S. J., Jacquet, J., & West, J. D. (2017) · Socius: Sociological Research for a Dynamic World · doi:10.1177/2378023117738903 · Cited by 275
Maximal planar networks with large clustering coefficient and power-law degree distribution
Zhou, T., Yan, G., & Wang, B.-H. (2005) · Physical Review E · doi:10.1103/physreve.71.046141 · Cited by 265
Configuring Random Graph Models with Fixed Degree Sequences
Fosdick, B. K., Larremore, D. B., Nishimura, J., & Ugander, J. (2018) · SIAM Review · doi:10.1137/16m1087175 · Cited by 246
Scientific communication: Its role in the conduct of research and creation of knowledge.
Garvey, W. D., & Griffith, B. C. (1971) · American Psychologist · doi:10.1037/h0032059 · Cited by 225
Singh, A., Kanaujia, A., Singh, V. K., & Vinuesa, R. (2024) · Sustainable Development · doi:10.1002/sd.2706 · Cited by 211
Hargens, L. L. (2000) · American Sociological Review · doi:10.2307/2657516 · Cited by 211
Vértes, P. E., & Bullmore, E. T. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12365 · Cited by 197
Cooper, H., & Koenka, A. C. (2012) · American Psychologist · doi:10.1037/a0027119 · Cited by 196
From maps to multi-dimensional network mechanisms of mental disorders
Braun, U., Schaefer, A., Betzel, R. F., Tost, H., Meyer-Lindenberg, A., & Bassett, D. S. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.007 · Cited by 177
Power laws in citation distributions: evidence from Scopus
Brzezinski, M. (2015) · Scientometrics · doi:10.1007/s11192-014-1524-z · Cited by 196
On the shoulders of Robert Merton: Towards a normative theory of citation
Small, H. (2004) · Scientometrics · doi:10.1023/b:scie.0000027310.68393.bc · Cited by 183
Leydesdorff, L., Wouters, P., & Bornmann, L. (2016) · Scientometrics · doi:10.1007/s11192-016-2150-8 · Cited by 173
Modeling the Growth of Transportation Networks: A Comprehensive Review
Xie, F., & Levinson, D. (2009) · Networks and Spatial Economics · doi:10.1007/s11067-007-9037-4 · Cited by 163
Estimates of the Continuously Publishing Core in the Scientific Workforce
Ioannidis, J. P. A., Boyack, K. W., & Klavans, R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101698 · Cited by 160
Stochastic modeling of citation slips
Simkin, M. V., & Roychowdhury, V. P. (2005) · Scientometrics · doi:10.1007/s11192-005-0028-2 · Cited by 135
Representative Literature Reviews Using Constrained Snowball Sampling and Citation Network Analysis
Lecy, J. D., & Beatty, K. E. (2012) · doi:10.2139/ssrn.1992601 · Cited by 133
Public use and public funding of science
Yin, Y., Dong, Y., Wang, K., Wang, D., & Jones, B. F. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01397-5 · Cited by 123
Stopar, K., & Bartol, T. (2019) · Scientometrics · doi:10.1007/s11192-018-2990-5 · Cited by 119
State-of-the-art in detecting academic plagiarism
Meuschke, N., & Gipp, B. (2013) · International Journal for Educational Integrity · doi:10.21913/ijei.v9i1.847 · Cited by 112
Can literature analysis identify innovation drivers in drug discovery?
Agarwal, P., & Searls, D. B. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2973 · Cited by 100
A mathematical theory of citing
Simkin, M. V., & Roychowdhury, V. P. (2007) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20653 · Cited by 93
The memory of science: Inflation, myopia, and the knowledge network
Pan, R. K., Petersen, A. M., Pammolli, F., & Fortunato, S. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.06.005 · Cited by 79
POWER LAW RELATIONS IN SCIENCE BIBLIOGRAPHY—A SELF‐CONSISTENT INTERPRETATION
NARANAN, S. (1971) · Journal of Documentation · doi:10.1108/eb026510 · Cited by 72
Alzheimer's disease digital biomarkers multidimensional landscape and AI model scoping review
Qi, W., Zhu, X., Wang, B., Shi, Y., Dong, C., Shen, S., Li, J., Zhang, K., He, Y., Zhao, M., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01640-z · Cited by 78
Temporal patterns of genes in scientific publications
Pfeiffer, T., & Hoffmann, R. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701315104 · Cited by 64
The aging of scientific literature: A citation analysis
GRIFFITH, B. C., SERVI, P. N., ANKER, A. L., & CARL DROTT, M. (1979) · Journal of Documentation · doi:10.1108/eb026679 · Cited by 66
SIMONTON, D. K. (1998) · The Journal of Creative Behavior · doi:10.1002/j.2162-6057.1998.tb00812.x · Cited by 59
Generative models of rich clubs in Hebbian neuronal networks and large-scale human brain networks
Vértes, P. E., Alexander-Bloch, A., & Bullmore, E. T. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0531 · Cited by 50
MARTYN, J. (1975) · Journal of Documentation · doi:10.1108/eb026610 · Cited by 43
Bornmann, L., Wagner, C., & Leydesdorff, L. (2018) · PLOS ONE · doi:10.1371/journal.pone.0194805 · Cited by 39
Shi, X., Leskovec, J., & McFarland, D. A. (2010) · Proceedings of the 10th annual joint conference on Digital libraries · doi:10.1145/1816123.1816131 · Cited by 36
Bibliometric Indicators: Why Do We Need More than One?
Setti, G. (2013) · IEEE Access · doi:10.1109/access.2013.2261115 · Cited by 31
CITATIONS, OBSOLESCENCE, ENDURING ARTICLES, AND MULTIPLE AUTHORSHIPS
CAWKELL, A. E. (1976) · Journal of Documentation · doi:10.1108/eb026615 · Cited by 29
What drives the growth of black holes: A decade of progress
Alexander, D. M., Hickox, R. C., Aird, J., Combes, F., Costa, T., Habouzit, M., Harrison, C. M., Leng, R. I., Morabito, L. K., Uckelman, S. L., et al. (2025) · New Astronomy Reviews · doi:10.1016/j.newar.2025.101733 · Cited by 18
BUILDING THE YOUTH MENTORING KNOWLEDGE BASE: PUBLISHING TRENDS AND COAUTHORSHIP NETWORKS
Blakeslee, J. E., & Keller, T. E. (2012) · Journal of Community Psychology · doi:10.1002/jcop.21494 · Cited by 17
Qi, M., Dai, X., Zhang, B., Li, J., & Liu, B. (2023) · Sustainability · doi:10.3390/su15043274 · Cited by 11
Bornmann, L., & Mutz, R. (2014) · arXiv · doi:10.48550/arxiv.1402.4578 · Cited by 11
Metadata
- Authors
- Price, D. J. D. S.
- Venue
- Science
- Published
- 1965-07-30
- Volume
- 149
- Issue
- 3683
- Pages
- 510-515
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2088209891
- Cited by
- 3,122
- References
- 0
- FWCI
- 11.04
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.