Literature DB >> 24159044

Atypical combinations and scientific impact.

Brian Uzzi1, Satyam Mukherjee, Michael Stringer, Ben Jones.   

Abstract

Novelty is an essential feature of creative ideas, yet the building blocks of new ideas are often embodied in existing knowledge. From this perspective, balancing atypical knowledge with conventional knowledge may be critical to the link between innovativeness and impact. Our analysis of 17.9 million papers spanning all scientific fields suggests that science follows a nearly universal pattern: The highest-impact science is primarily grounded in exceptionally conventional combinations of prior work yet simultaneously features an intrusion of unusual combinations. Papers of this type were twice as likely to be highly cited works. Novel combinations of prior work are rare, yet teams are 37.7% more likely than solo authors to insert novel combinations into familiar knowledge domains.

Mesh:

Year:  2013        PMID: 24159044     DOI: 10.1126/science.1240474

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  91 in total

1.  Quantifying the impact of weak, strong, and super ties in scientific careers.

Authors:  Alexander Michael Petersen
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-10       Impact factor: 11.205

2.  Neophilia Ranking of Scientific Journals.

Authors:  Mikko Packalen; Jay Bhattacharya
Journal:  Scientometrics       Date:  2016-10-22       Impact factor: 3.238

3.  Defining and identifying Sleeping Beauties in science.

Authors:  Qing Ke; Emilio Ferrara; Filippo Radicchi; Alessandro Flammini
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-26       Impact factor: 11.205

4.  Bibliometrics: Is your most cited work your best?

Authors:  John P A Ioannidis; Kevin W Boyack; Henry Small; Aaron A Sorensen; Richard Klavans
Journal:  Nature       Date:  2014-10-30       Impact factor: 49.962

5.  Forecasting innovations in science, technology, and education.

Authors:  Katy Börner; William B Rouse; Paul Trunfio; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-11       Impact factor: 11.205

6.  Quantifying the growth of oncofertility.

Authors:  Lauren M Ataman; Yifang Ma; Francesca E Duncan; Brian Uzzi; Teresa K Woodruff
Journal:  Biol Reprod       Date:  2018-08-01       Impact factor: 4.285

7.  The workplace health group: A case study of 20 years of multidisciplinary research.

Authors:  Nicholas J Haynes; Robert J Vandenberg; David M DeJoy; Mark G Wilson; Heather M Padilla; Heather S Zuercher; Melissa M Robertson
Journal:  Am Psychol       Date:  2019-04

8.  Principles of scientific research team formation and evolution.

Authors:  Staša Milojević
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-03       Impact factor: 11.205

Review 9.  Symptom Science Research in the Era of Big Data: Leveraging Interdisciplinary Resources and Partners to Make It Happen.

Authors:  Elizabeth J Corwin; Dean P Jones; Anne L Dunlop
Journal:  J Nurs Scholarsh       Date:  2018-11-19       Impact factor: 3.176

10.  Quantifying Conceptual Novelty in the Biomedical Literature.

Authors:  Shubhanshu Mishra; Vetle I Torvik
Journal:  Dlib Mag       Date:  2016 Sep-Oct
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