See further upon the giants: Quantifying intellectual lineage in science

IF 4.1 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Woo Seong Jo, Lu Liu, Dashun Wang
{"title":"See further upon the giants: Quantifying intellectual lineage in science","authors":"Woo Seong Jo, Lu Liu, Dashun Wang","doi":"10.1162/qss_a_00186","DOIUrl":null,"url":null,"abstract":"Abstract Newton’s centuries-old wisdom of standing on the shoulders of giants raises a crucial yet underexplored question: Out of all the prior works cited by a discovery, which one is its giant? Here, we develop a discipline-independent method to identify the giant for any individual paper, allowing us to better understand the role and characteristics of giants in science. We find that across disciplines, about 95% of papers appear to stand on the shoulders of giants, yet the weight of scientific progress rests on relatively few shoulders. Defining a new measure of giant index, we find that, while papers with high citations are more likely to be giants, for papers with the same citations, their giant index sharply predicts a paper’s future impact and prize-winning probabilities. Giants tend to originate from both small and large teams, being either highly disruptive or highly developmental. Papers that did not have a giant tend to do poorly on average, yet interestingly, if such papers later became a giant for other papers, they tend to be home-run papers that are highly disruptive to science. Given the crucial importance of citation-based measures in science, the developed concept of giants may offer a useful dimension in assessing scientific impact that goes beyond sheer citation counts.","PeriodicalId":34021,"journal":{"name":"Quantitative Science Studies","volume":"3 1","pages":"319-330"},"PeriodicalIF":4.1000,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Science Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1162/qss_a_00186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 5

Abstract

Abstract Newton’s centuries-old wisdom of standing on the shoulders of giants raises a crucial yet underexplored question: Out of all the prior works cited by a discovery, which one is its giant? Here, we develop a discipline-independent method to identify the giant for any individual paper, allowing us to better understand the role and characteristics of giants in science. We find that across disciplines, about 95% of papers appear to stand on the shoulders of giants, yet the weight of scientific progress rests on relatively few shoulders. Defining a new measure of giant index, we find that, while papers with high citations are more likely to be giants, for papers with the same citations, their giant index sharply predicts a paper’s future impact and prize-winning probabilities. Giants tend to originate from both small and large teams, being either highly disruptive or highly developmental. Papers that did not have a giant tend to do poorly on average, yet interestingly, if such papers later became a giant for other papers, they tend to be home-run papers that are highly disruptive to science. Given the crucial importance of citation-based measures in science, the developed concept of giants may offer a useful dimension in assessing scientific impact that goes beyond sheer citation counts.
进一步了解巨人:量化科学中的知识谱系
摘要牛顿站在巨人肩膀上的数百年智慧提出了一个关键但未被充分探索的问题:在一项发现引用的所有先前著作中,哪一部是它的巨人?在这里,我们开发了一种独立于学科的方法来识别任何一篇论文的巨人,使我们能够更好地了解巨人在科学中的作用和特征。我们发现,在各个学科中,大约95%的论文似乎站在巨人的肩膀上,但科学进步的重量却相对较少。定义了一个新的巨人指数衡量标准,我们发现,虽然引用次数高的论文更有可能是巨人,但对于引用次数相同的论文,它们的巨人指数可以敏锐地预测论文的未来影响和获奖概率。巨人队往往既有小型球队,也有大型球队,要么极具破坏性,要么极具发展性。没有巨头的论文通常表现不佳,但有趣的是,如果这些论文后来成为其他论文的巨头,它们往往是对科学具有高度破坏性的本垒打论文。鉴于基于引文的测量在科学中至关重要,巨人的概念可能为评估科学影响提供了一个有用的维度,而不仅仅是引文数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Quantitative Science Studies
Quantitative Science Studies INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
12.10
自引率
12.50%
发文量
46
审稿时长
22 weeks
期刊介绍:
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信