The impact of knowledge diversity on scientific output: distinct effects from collective and individual perspectives.
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| Title: | The impact of knowledge diversity on scientific output: distinct effects from collective and individual perspectives. |
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| Authors: | Han, Yuxin1,2 (AUTHOR) yxhan-whu@whu.edu.cn, Zhang, Lin1,2 (AUTHOR) linzhang1117@whu.edu.cn, Gou, Zhenyu1,2 (AUTHOR) zhenyugou@whu.edu.cn |
| Source: | Scientometrics. Jun2026, Vol. 131 Issue 6, p4049-4076. 28p. |
| Subjects: | Impact factor (Citation analysis), Disruptive innovations, Team building, Expertise, Cooperative research |
| Abstract: | Knowledge diversity plays a pivotal role in shaping research outputs in scientific collaboration. However, most previous studies measure knowledge diversity at the article level and implicitly treat collaboration members as a homogeneous whole, which may lead to aggregation bias. This study proposes a dual-perspective framework for measuring knowledge diversity in scientific collaboration, distinguishing between the individual perspective—each collaborator is treated as a separate individual—and the collective perspective—all collaborators are treated as an integrated entity. Using articles published in Nature between 2000 and 2020 as the empirical dataset, knowledge diversity is measured across three dimensions: variety, balance and disparity, and its associations with citation impact and disruption are examined. The results reveal divergent patterns across the individual and collective perspectives: individual knowledge variety is positively associated with both impact and disruption, whereas collective knowledge variety is negatively associated with both citation impact and disruption. Knowledge balance shows no stable association with impact, but its relationship with disruption differs across perspectives. Collective knowledge disparity is positively associated with both impact and disruption, whereas individual knowledge disparity is positively associated with impact but negatively associated with disruption. These findings highlight the importance of distinguishing between the two perspectives of knowledge diversity and provide a refined lens for optimizing team composition and knowledge integration in scientific collaboration. [ABSTRACT FROM AUTHOR] |
| Copyright of Scientometrics is the property of Springer Nature 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: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194995930 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The impact of knowledge diversity on scientific output: distinct effects from collective and individual perspectives. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Han%2C+Yuxin%22">Han, Yuxin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> yxhan-whu@whu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Lin%22">Zhang, Lin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> linzhang1117@whu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Gou%2C+Zhenyu%22">Gou, Zhenyu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zhenyugou@whu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientometrics%22">Scientometrics</searchLink>. Jun2026, Vol. 131 Issue 6, p4049-4076. 28p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Impact+factor+%28Citation+analysis%29%22">Impact factor (Citation analysis)</searchLink><br /><searchLink fieldCode="DE" term="%22Disruptive+innovations%22">Disruptive innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Team+building%22">Team building</searchLink><br /><searchLink fieldCode="DE" term="%22Expertise%22">Expertise</searchLink><br /><searchLink fieldCode="DE" term="%22Cooperative+research%22">Cooperative research</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Knowledge diversity plays a pivotal role in shaping research outputs in scientific collaboration. However, most previous studies measure knowledge diversity at the article level and implicitly treat collaboration members as a homogeneous whole, which may lead to aggregation bias. This study proposes a dual-perspective framework for measuring knowledge diversity in scientific collaboration, distinguishing between the individual perspective—each collaborator is treated as a separate individual—and the collective perspective—all collaborators are treated as an integrated entity. Using articles published in Nature between 2000 and 2020 as the empirical dataset, knowledge diversity is measured across three dimensions: variety, balance and disparity, and its associations with citation impact and disruption are examined. The results reveal divergent patterns across the individual and collective perspectives: individual knowledge variety is positively associated with both impact and disruption, whereas collective knowledge variety is negatively associated with both citation impact and disruption. Knowledge balance shows no stable association with impact, but its relationship with disruption differs across perspectives. Collective knowledge disparity is positively associated with both impact and disruption, whereas individual knowledge disparity is positively associated with impact but negatively associated with disruption. These findings highlight the importance of distinguishing between the two perspectives of knowledge diversity and provide a refined lens for optimizing team composition and knowledge integration in scientific collaboration. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Scientometrics is the property of Springer Nature 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: 10.1007/s11192-026-05661-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 4049 Subjects: – SubjectFull: Impact factor (Citation analysis) Type: general – SubjectFull: Disruptive innovations Type: general – SubjectFull: Team building Type: general – SubjectFull: Expertise Type: general – SubjectFull: Cooperative research Type: general Titles: – TitleFull: The impact of knowledge diversity on scientific output: distinct effects from collective and individual perspectives. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Han, Yuxin – PersonEntity: Name: NameFull: Zhang, Lin – PersonEntity: Name: NameFull: Gou, Zhenyu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01389130 Numbering: – Type: volume Value: 131 – Type: issue Value: 6 Titles: – TitleFull: Scientometrics Type: main |
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