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Trending Papers in scientific-communication-and-education

How Mentorship Can Influence Academic Success
From Paper: Intellectual synthesis in mentorship determines success in academic careers
Published: Nov 2018
  • This study identified factors related to mentorship that influence the academic success of postdoctoral trainees in biomedical research. Limited data in other life science leaves uncertain correlations and remains to be investigated.
  • The objective was to uncover how patterns in the network of mentors and protégés shape their academic success. Metrics used but not limited to: academic proliferation (the number of progeny trained by a mentor, sometimes termed academic fecundity), publication and citation rates, funding levels, attrition rate, and scientific proficiency.
Submitted by Cullyn Newman
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Open is not forever: a study of vanished open access journals
Mikael Laakso, Lisa Matthias, Najko Jahn
Published: Aug 2020
  • During the data collection process, the authors encountered almost 900 inactive OA journals that were still accessible at the time of our study but at high risk for vanishing in the near future
  • This study found that 176 open-access journals that have vanished from the web. Journals that were affiliated with academic institutions or scholarly societies, located in North America, or that published social sciences and humanities research, represent a larger share of vanished journals compared to other types
Submitted by Age Old
Massively collaborative mathematics
Published: Oct 2009
  • We can use the internet to build tools that expand our ability to solve the most challenging intellectual problems. Tools which actively amplify our collective intelligence in much the same way as for millennia we've used physical tools to amplify our strength.
  • Formally recognizing contributions to a Polymath project is difficult; research papers from such a project are usually written under a pseudonym. This is a particular issue for early career mathematicians considering devoting substantial research time to a Polymath project.
Submitted by Thomas Vu
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Open Science done right
Published: Aug 2020
A chain of simultaneous actions to foster open science is proposed.
Submitted by Matheus Lobo
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An analysis of how citations can be misused to grant intellectual authority where it is not deserved
  • Through distortions in its social use that include bias, amplification, and invention, citation can be used to generate information cascades resulting in unfounded authority of claims
Submitted by Patrick Joyce
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Massive Open Access Publications
From Paper: Collaborative Open Access Journals
Published: Feb 2020
A huge collaborative open science model is proposed. Many authors collaborating in a paper leads to a substantial reduction for the Article Processing Charges (APCs) in the Open Access Journals. This can significantly stimulate research within a healthier citizen and open science culture.
Submitted by Matheus Lobo
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Self-Publishing Journal
Published: Jun 2020
We propose a disruption between the publication of scientific articles and the quality control agency by the development of Self-Publication Journals.
Submitted by Matheus Lobo
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Reinventing Scientific Journals
Published: Jun 2020
We present what we believe are mandatory parameters for a robust Scientific Journal in order to preserve the health of our academic publishing system.
Submitted by Matheus Lobo
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Universal Knowledge Base
Published: Jun 2020
We present the STR simple rules to build a knowledge base with all scientific knowledge.
Submitted by Matheus Lobo
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Analysis of Open Data and Computational Reproducibility in Registered Reports in Psychology
Ongoing technological developments have made it easier than ever before for scientists to share their data, materials, and analysis code. Sharing data and analysis code makes it easier for other researchers to reuse or check published research. However, these benefits will emerge only if researchers can reproduce the analyses reported in published articles and if data are annotated well enough so that it is clear what all variable and value labels mean. Because most researchers are not trained in computational reproducibility, it is important to evaluate current practices to identify those that can be improved. We examined data and code sharing for Registered Reports published in the psychological literature from 2014 to 2018 and attempted to independently computationally reproduce the main results in each article. Of the 62 articles that met our inclusion criteria, 41 had data available, and 37 had analysis scripts available. Both data and code for 36 of the articles were shared. We could run the scripts for 31 analyses, and we reproduced the main results for 21 articles. Although the percentage of articles for which both data and code were shared (36 out of 62, or 58%) and the percentage of articles for which main results could be computationally reproduced (21 out of 36, or 58%) were relatively high compared with the percentages found in other studies, there is clear room for improvement. We provide practical recommendations based on our observations and cite examples of good research practices in the studies whose main results we reproduced.
Submitted by Seth Green
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