Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Quantifying Work02:30

Quantifying Work

24.9K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
24.9K
Impact of Individuals on Individuals01:30

Impact of Individuals on Individuals

467
Human behavior is intricately shaped by social influences that arise from interactions with others in diverse contexts. These influences not only mold beliefs and attitudes but also drive the regulation of behaviors through both direct communication and observational learning. The study of these processes falls within the domain of social psychology, which seeks to understand how individuals are affected by and affect those around them.Mechanisms of Social InfluenceDirect social influence...
467
What is Evolutionary History?02:35

What is Evolutionary History?

44.3K
Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
44.3K
Speciation Rates01:07

Speciation Rates

23.3K
Overview
23.3K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.2K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
7.2K
The Fossil Record02:56

The Fossil Record

28.1K
The fossil record documents only a small fraction of all organisms that have ever inhabited Earth. Fossilization is a rare process, and most organisms never become fossils. Moreover, the fossil record only exhibits fossils that have been discovered. Nevertheless, sedimentary rock fossils of long-lived, abundant, hard-bodied organisms dominate the fossil record. These fossils offer valuable information, such as an organism's physical form, behavior, and age. Studying the fossil record helps...
28.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Quantifying institutional gender inequality in contemporary visual art.

Nature communications·2026
Same author

Network-driven discovery of repurposable drugs targeting hallmarks of aging.

Nature aging·2026
Same author

Switching exploration modes in human mobility.

Journal of the Royal Society, Interface·2026
Same author

The aging genome exhibits organized vulnerability to somatic mutations.

bioRxiv : the preprint server for biology·2026
Same author

Hungary's chance to rebuild science.

Science (New York, N.Y.)·2026
Same author

Bipartisan-cited science is rare, unevenly distributed, and disproportionately influential.

Proceedings of the National Academy of Sciences of the United States of America·2026

Related Experiment Video

Updated: Mar 12, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

4.5K

Quantifying the evolution of individual scientific impact.

Roberta Sinatra1,2, Dashun Wang3,4, Pierre Deville1,5

  • 1Center for Complex Network Research and Physics Department, Northeastern University, Boston, MA 02115, USA.

Science (New York, N.Y.)
|November 5, 2016
PubMed
Summary

Scientific impact, measured by influential publications, appears randomly distributed across a scientist's career. A new stochastic model explains this pattern, separating productivity, ability, and luck to predict career success.

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.4K
Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach
12:32

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach

Published on: December 14, 2019

14.9K

Related Experiment Videos

Last Updated: Mar 12, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

4.5K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.4K
Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach
12:32

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach

Published on: December 14, 2019

14.9K

Area of Science:

  • Bibliometrics
  • Scientometrics
  • Career Trajectory Analysis

Background:

  • Quantitative indicators are widely used to assess scientist impact, but the underlying dynamics of impact emergence and evolution remain poorly understood.
  • Existing metrics often fail to capture the complex interplay of factors contributing to scientific success over time.

Purpose of the Study:

  • To quantify changes in scientific impact and productivity throughout a scientist's career.
  • To develop a model that explains the emergence of scientific success by uncoupling productivity, individual ability, and luck.
  • To identify universal patterns governing scientific career development.

Main Methods:

  • Analysis of publication sequences and associated impact metrics (e.g., citations, h-index).
  • Development of a stochastic model based on a 'random-impact rule' for publication influence.
  • Validation of the model by predicting individual scientist impact evolution and recognition (e.g., prizes).

Main Results:

  • Scientific impact, defined by influential publications, follows a random distribution within a scientist's publication output.
  • A stable, individual parameter 'Q' was identified, characterizing each scientist's impact potential.
  • The stochastic model accurately predicts the temporal evolution of various impact measures, including h-index and cumulative citations.

Conclusions:

  • The study reveals a fundamental random-impact rule governing scientific success.
  • A novel stochastic model provides a framework for understanding and predicting scientific career trajectories.
  • The findings offer new insights into the interplay of productivity, ability, and luck in achieving scientific recognition.