Nature Methods

Nature, first published on 4 November 1869, is ranked the world s most cited interdisciplinary scientific journal by the Science Edition of the 2010 Journal Citation Reports. Most scientific journals are now highly specialized, and Nature is among the few journals (the other weekly journals Science and Proceedings of the National Academy of Sciences are also prominent examples) that still publish original research articles across a wide range of scientific fields. There are many fields of scientific research in which important new advances and original research are published as either articles or letters in Nature. Research scientists are the primary audience for the journal, but summaries and accompanying articles are intended to make many of the most important papers understandable to scientists in other fields and the educated general public. Towards the front of each issue are editorials, news and feature articles on issues of general interest to scientists, including current affairs, science funding, business, scientific ethics and research breakthroughs. There are also sections on books and arts.

Nature Publishing Group
Impact factor
20.717 (2010)
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Computer Sciences

Deep-learning–based image analysis is now just a click away

Under an initiative by EPFL's Center for Imaging, a team of engineers from EPFL and Universidad Carlos III de Madrid have developed a plugin that makes it easier to incorporate artificial intelligence into image analysis ...

Machine learning & AI

Machine learning improves biological image analysis

Scientists use super-resolution microscopy to study previously undiscovered cellular worlds, revealing nanometer-scale details inside cells. This method revolutionized light microscopy and earned its inventors the 2014 Nobel ...

Computer Sciences

Researchers offer standards for studies using machine learning

Researchers in the life sciences who use machine learning for their studies should adopt standards that allow other researchers to reproduce their results, according to a comment article published today in the journal Nature ...

Machine learning & AI

A standard for artificial intelligence in biomedicine

An international research team with participants from several universities including the FAU has proposed a standardized registry for artificial intelligence (AI) work in biomedicine to improve the reproducibility of results ...

Machine learning & AI

AI-driven single blood cell classification

Every day, millions of single blood cells are evaluated for disease diagnostics in medical laboratories and clinics. Most of this repetitive task is still done manually by trained cytologists who inspect cells in stained ...


Google Maps for tissues

Modern light microscopic techniques provide extremely detailed insights into organs, but the terabytes of data they produce are usually nearly impossible to process. New software, developed by a team led by MDC scientist ...

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