Atypical Combinations and Scientific Impact.

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Bibliographic Details
Title:	Atypical Combinations and Scientific Impact.
Authors:	Uzzi, Brian, Mukherjee, Satyam, Stringer, Michael, Jones, Ben
Source:	Science (pre-March 2025). 10/25/2013, Vol. 342 Issue 6157, p468-472. 3p.
Subjects:	Scientific knowledge, Citation analysis, Theory of knowledge, Technological innovations, Cooperative research
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. [ABSTRACT FROM AUTHOR]
	Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Psychology and Behavioral Sciences Collection

FullText	Links: – Type: pdflink Text: Availability: 0
Header	DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 91756046 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0
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Items	– Name: Title Label: Title Group: Ti Data: Atypical Combinations and Scientific Impact. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Uzzi%2C+Brian%22">Uzzi, Brian</searchLink><br /><searchLink fieldCode="AR" term="%22Mukherjee%2C+Satyam%22">Mukherjee, Satyam</searchLink><br /><searchLink fieldCode="AR" term="%22Stringer%2C+Michael%22">Stringer, Michael</searchLink><br /><searchLink fieldCode="AR" term="%22Jones%2C+Ben%22">Jones, Ben</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 10/25/2013, Vol. 342 Issue 6157, p468-472. 3p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Scientific+knowledge%22">Scientific knowledge</searchLink><br /><searchLink fieldCode="DE" term="%22Citation+analysis%22">Citation analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Theory+of+knowledge%22">Theory of knowledge</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Cooperative+research%22">Cooperative research</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo	BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1126/science.1240474 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 468 Subjects: – SubjectFull: Scientific knowledge Type: general – SubjectFull: Citation analysis Type: general – SubjectFull: Theory of knowledge Type: general – SubjectFull: Technological innovations Type: general – SubjectFull: Cooperative research Type: general Titles: – TitleFull: Atypical Combinations and Scientific Impact. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Uzzi, Brian – PersonEntity: Name: NameFull: Mukherjee, Satyam – PersonEntity: Name: NameFull: Stringer, Michael – PersonEntity: Name: NameFull: Jones, Ben IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 10 Text: 10/25/2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 00368075 Numbering: – Type: volume Value: 342 – Type: issue Value: 6157 Titles: – TitleFull: Science (pre-March 2025) Type: main
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