PLoS ONE

PLoS ONE is an open access peer-reviewed scientific journal published by the Public Library of Science (PLoS) since 2006. It covers primary research from any discipline within science and medicine. All submissions go through an internal and external pre-publication peer review but are not excluded on the basis of lack of perceived importance or adherence to a scientific field. The PLoS ONE online platform has post-publication user discussion and rating features. PLoS ONE was launched in December 2006 as a beta version. It launched with Commenting and Note making functionality, and added the ability to rate articles in July 2007. In September 2007 the ability to leave "trackbacks" on articles was added. In August 2008 it moved from a weekly publication schedule to a daily one, publishing articles as soon as they became ready. In October 2008 PLoS ONE came out of "beta". Also in September 2009, as part of its "Article-Level Metrics" program, PLoS ONE made the full online usage data for every published article (HTML page views, PDF, and XML downloads) publicly available.

Publisher
Public Library of Science
History
2006--present
Impact factor
4.411 (2010)
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Robotics

Scientists introduce novel perspective in robotic capability

University of Illinois researcher Amy LaViers has introduced a new point of view from which to observe robotic capabilities in her paper, "Counts of Mechanical, External Configurations Compared to Computational, Internal ...

Hi Tech & Innovation

Augmented reality affects people's behavior in the real world

As major technology firms race to roll out augmented reality products, Stanford researchers are learning how it affects people's behavior – in both the physical world and a digitally enhanced one.

Machine learning & AI

Tracking urban gentrification, one building at a time

A new deep-mapping computer model can detect visual changes to individual properties, allowing researchers to more-rapidly track gentrification within neighborhoods and cities, according to a study published March 13, 2019 ...

Machine learning & AI

Machine learning for damaging mutations prediction

Next-generation sequencing technology has ushered in a new era in medicine, making it easier to identify a sequence of nucleotides in DNA or a sequence of amino acids in the proteins of a specific individual and use this ...