Quantifying the evolution of individual scientific impact.
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Data-driven predictions in the science of scienceQuantifying patterns of research-interest evolutionWhy are we not evaluating multiple competing hypotheses in ecology and evolution?And, not or: Quality, quantity in scientific publishing.Uncovering and Predicting the Dynamic Process of Collective Attention with Survival Theory.Science and Facebook: The same popularity law!The Beneficial Role of Mobility for the Emergence of Innovation.The misleading narrative of the canonical faculty productivity trajectory.Opinion: The Next Generation Researchers Initiative at NIH.Forecasting success via early adoptions analysis: A data-driven study.Science of scienceCategorical and Geographical Separation in Science.An empirical study of the per capita yield of science Nobel prizes: is the US era coming to an end?History of art paintings through the lens of entropy and complexity
P2860
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P2860
Quantifying the evolution of individual scientific impact.
description
2016 nî lūn-bûn
@nan
2016 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Quantifying the evolution of individual scientific impact.
@ast
Quantifying the evolution of individual scientific impact.
@en
Quantifying the evolution of individual scientific impact.
@nl
type
label
Quantifying the evolution of individual scientific impact.
@ast
Quantifying the evolution of individual scientific impact.
@en
Quantifying the evolution of individual scientific impact.
@nl
prefLabel
Quantifying the evolution of individual scientific impact.
@ast
Quantifying the evolution of individual scientific impact.
@en
Quantifying the evolution of individual scientific impact.
@nl
P2860
P50
P356
P1433
P1476
Quantifying the evolution of individual scientific impact.
@en
P2860
P356
10.1126/SCIENCE.AAF5239
P407
P577
2016-11-01T00:00:00Z