Papers and patents are becoming less disruptive over time

引用 数据科学 比例(比率) 领域(数学) 技术变革 计算机科学 地理 数学 人工智能 地图学 图书馆学 纯数学
作者
Michael Park,Erin Leahey,Russell J. Funk
出处
期刊:Nature [Springer Nature]
卷期号:613 (7942): 138-144 被引量:692
标识
DOI:10.1038/s41586-022-05543-x
摘要

Theories of scientific and technological change view discovery and invention as endogenous processes1,2, wherein previous accumulated knowledge enables future progress by allowing researchers to, in Newton’s words, ‘stand on the shoulders of giants’3–7. Recent decades have witnessed exponential growth in the volume of new scientific and technological knowledge, thereby creating conditions that should be ripe for major advances8,9. Yet contrary to this view, studies suggest that progress is slowing in several major fields10,11. Here, we analyse these claims at scale across six decades, using data on 45 million papers and 3.9 million patents from six large-scale datasets, together with a new quantitative metric—the CD index12—that characterizes how papers and patents change networks of citations in science and technology. We find that papers and patents are increasingly less likely to break with the past in ways that push science and technology in new directions. This pattern holds universally across fields and is robust across multiple different citation- and text-based metrics1,13–17. Subsequently, we link this decline in disruptiveness to a narrowing in the use of previous knowledge, allowing us to reconcile the patterns we observe with the ‘shoulders of giants’ view. We find that the observed declines are unlikely to be driven by changes in the quality of published science, citation practices or field-specific factors. Overall, our results suggest that slowing rates of disruption may reflect a fundamental shift in the nature of science and technology. A decline in disruptive science and technology over time is reported, representing a substantive shift in science and technology, which is attributed in part to the reliance on a narrower set of existing knowledge.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ccfff发布了新的文献求助10
刚刚
刘小龙关注了科研通微信公众号
刚刚
刚刚
1秒前
alice完成签到,获得积分10
1秒前
风华发布了新的文献求助10
1秒前
kellyzhang发布了新的文献求助30
1秒前
2秒前
赫赫发布了新的文献求助10
2秒前
2秒前
bc应助小小狗采纳,获得30
3秒前
科研小白发布了新的文献求助10
3秒前
soar完成签到 ,获得积分0
3秒前
4秒前
陈西发布了新的文献求助10
4秒前
逆风起笔发布了新的文献求助10
5秒前
浮游应助默默的含蕾采纳,获得10
5秒前
SZY完成签到 ,获得积分10
5秒前
5秒前
sincy发布了新的文献求助10
5秒前
天天快乐应助懵懂的随阴采纳,获得30
5秒前
小马甲应助一隅采纳,获得10
5秒前
6秒前
111发布了新的文献求助10
7秒前
7秒前
7秒前
lize5493发布了新的文献求助10
7秒前
wanci应助Lmj采纳,获得10
8秒前
852应助阿正嗖啪采纳,获得30
8秒前
bulabulabu完成签到,获得积分10
9秒前
9秒前
逆风起笔完成签到,获得积分10
10秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
小羊完成签到,获得积分20
10秒前
Rando发布了新的文献求助10
10秒前
量子星尘发布了新的文献求助10
11秒前
11秒前
顺顺利利毕业关注了科研通微信公众号
11秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5690302
求助须知:如何正确求助?哪些是违规求助? 5077670
关于积分的说明 15201358
捐赠科研通 4848118
什么是DOI,文献DOI怎么找? 2599973
邀请新用户注册赠送积分活动 1551877
关于科研通互助平台的介绍 1510510