Predicting Publication Success for Biologists
TLDR
It is suggested that early publication success is vital for aspiring young scientists and that one of the easiest ways to identify rising stars is simply to find those who have published early and often.Abstract:
Can one foresee whether young scientists will publish successfully during their careers? For academic biologists on four continents, we evaluated the effects of gender, native language, prestige of the institution at which they received their PhD, the date of their first publication (relative to the year of PhD completion), and their pre-PhD publication record as potential indicators of long-term publication success (10 years post-PhD). Pre-PhD publication success was the strongest correlate of long-term success. Gender, language, and the date of first publication had ancillary roles, with native English speakers, males, and those who published earlier in their career having minor advantages. Once these aspects were accounted for, university prestige had almost no discernable effect. We suggest that early publication success is vital for aspiring young scientists and that one of the easiest ways to identify rising stars is simply to find those who have published early and often.read more
Citations
More filters
Journal ArticleDOI
The Extent and Consequences of P-Hacking in Science
TL;DR: It is suggested that p-hacking probably does not drastically alter scientific consensuses drawn from meta-analyses, and its effect seems to be weak relative to the real effect sizes being measured.
Journal ArticleDOI
The science of science: from the perspective of complex systems
An Zeng,Zhesi Shen,Zhesi Shen,Jianlin Zhou,Jinshan Wu,Ying Fan,Yougui Wang,Yougui Wang,H. Eugene Stanley +8 more
TL;DR: In this paper, the authors review the recent advances in science of science (SOS) aiming to cover the topics from empirical study, network analysis, mechanistic models, ranking, prediction, and many important related issues.
Journal ArticleDOI
The advantage of short paper titles
TL;DR: Investigating whether any of this variance can be explained by a simple metric of one aspect of the paper's presentation: the length of its title provides evidence that journals which publish papers with shorter titles receive more citations per paper.
Journal ArticleDOI
The Impact of Publishing during PhD Studies on Career Research Publication, Visibility, and Collaborations.
TL;DR: In this article, the authors analyzed the impact that publishing during the period of PhD study has on researchers' future knowledge production, impact, and co-authorship, and found that those who published during their PhD have greater research production and productivity, and greater numbers of yearly citations and citations throughout their career compared to those who did not publish during their studies.
Journal ArticleDOI
Fundamental research questions in subterranean biology
Stefano Mammola,Stefano Mammola,Isabel R. Amorim,Maria Elina Bichuette,Paulo A. V. Borges,Naowarat Cheeptham,Steven J. B. Cooper,Steven J. B. Cooper,David C. Culver,Louis Deharveng,David Eme,Rodrigo Lopes Ferreira,Cene Fišer,Žiga Fišer,Daniel W. Fong,Christian Griebler,William R. Jeffery,Jure Jugovic,Johanna E. Kowalko,Thomas M. Lilley,Florian Malard,Raoul Manenti,Alejandro Martínez,Melissa B. Meierhofer,Melissa B. Meierhofer,Matthew L. Niemiller,Diana E. Northup,Thais Giovannini Pellegrini,Tanja Pipan,Meredith Protas,Ana Sofia P. S. Reboleira,Michael P. Venarsky,J. Judson Wynne,Maja Zagmajster,Pedro Cardoso +34 more
TL;DR: A roadmap to guide future research endeavours in subterranean biology is developed by adapting a well‐established methodology of ‘horizon scanning’ to identify the highest priority research questions across six subject areas.
References
More filters
Book
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
Journal ArticleDOI
An index to quantify an individual's scientific research output
TL;DR: The index h, defined as the number of papers with citation number ≥h, is proposed as a useful index to characterize the scientific output of a researcher.
Book
Bootstrap Methods and Their Application
Anthony C. Davison,David Hinkley +1 more
TL;DR: In this paper, a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis, is given, along with a disk of purpose-written S-Plus programs for implementing the methods described in the text.
Journal ArticleDOI
The Impact of Research Collaboration on Scientific Productivity
Sooho Lee,Barry Bozeman +1 more
TL;DR: Based on the curricula vitae and survey responses of 443 academic scientists affiliated with university research centers in the USA, the authors examined the longstanding assumption that research collaborati cation is collaborative.
Journal ArticleDOI
Does the H index have predictive power
TL;DR: The findings indicate that the h index is better than other indicators considered (total citation count, citations per paper, and total paper count) in predicting future scientific achievement.