Rockerfelleruniv2010

Josh Nicholson

and 2 more

BROOKLYN, NY, March 20, 2017 – Authorea, the online collaborative document editor for researchers, has partnered with Rockefeller University Press (RUP), a leading publisher in the life sciences, to offer better collaboration and submission options for scientists. With this partnership, researchers writing on Authorea can submit directly to The Journal of Cell Biology, The Journal of Experimental Medicine, or The Journal of General Physiology with one-click submission.Authorea has integrated with a growing list of journals in the past year as it pushes to become the one-stop shop for researchers to write collaborative work and disseminate it widely. Researchers writing on Authorea can write in multiple markup languages (including rich text, Markdown, and LaTeX), can easily search, insert, and format citations, as well as automatically format their manuscripts for submission to leading publishers like RUP.The Rockefeller University Press provides scientists and the public with peer-reviewed results of groundbreaking research and vital news and information they can trust. With a strong commitment to quality and integrity, RUP strives to publish excellent science using the latest technologies. It carries out rigorous and fair peer-review, applying the highest standards of novelty, mechanistic insight, data integrity, and general interest. All three journals are led by active scientists in partnership with professional editors, ensuring that RUP represents the communities it serves.Rob O’Donnell, Director of Publishing Technologies at RUP, says: “RUP journals have allowed format-neutral submission for years, making the process fast and efficient for authors. We are happy to integrate with Authorea, who take that efficiency one step further by allowing authors to submit to JCB, JEM, or JGP directly from the authoring tool.”Josh Nicholson, Chief Research Officer at Authorea, says: “We want to make research more robust, open, and impactful. Rockefeller University Press publishes some of the most important journals and research in the world and we’re happy to partner with them to make the writing, submission, and ultimately publication process easier for researchers.”The partnership makes formatting and submitting extremely simple for researchers so that they spend less time formatting and more time on their essential work. With this integration,Press ContactAdyam Ghebre, Outreach, Authorea+1 (646) 598-9285About AuthoreaAuthorea is the online document editor for research and the place where scientific collaboration happens. Authorea is trusted worldwide by leading researchers writing and publishing content in every discipline, from astrophysics to zoology. The online document editor supports a wide range of markup languages and scientific integrations, including the most popular citation management, graphing, and visualization plugins. Authorea is on a mission to accelerate science through a superior web-based research-writing platform that delivers powerful tools and capabilities to researchers.
Artboard

Josh Nicholson

and 1 more

BROOKLYN, NY, NOVEMBER 10, 2016 --Authorea (http://www.authorea.com), the online collaborative platform for researchers, today announced it has acquired The Winnower (https://www.thewinnower.com), a pioneering research publisher that offers advanced publishing tools to individual authors.With the acquisition, Authorea enhances the foremost online platform for researchers to write, cite, collaborate, host data, and publish all in one place. The acquisition follows a financing round led by Lux Capital and joined by Bloomberg Beta, the John S. and James L. Knight Foundation, TechHammer, ff Venture Capital, and New York Angels."We are building a powerful toolset for researchers to collaborate," said Authorea CEO Dr. Alberto Pepe. “We're supporting a research model that puts the author first, allowing him or her to write technical research documents online -- with a data layer underneath -- and to control fully the output and dissemination of that effort. We're pleased to welcome aboard the team at The Winnower, which will help provide additional publishing options to our researchers."The Winnower, founded by Dr. Joshua Nicholson in 2014, is a leading publisher of preprints and grey literature -- outputs that are often overlooked by traditional publishers."The Winnower offers traditional research publishing tools, such as a digital object identifier and permanent archival, to non-traditional documents like Reddit r/science Ask-Me-Anything (AMA) transcripts, blog posts, preprints, grant applications, citizen science reports, and more," said Dr. Nicholson. "We're delighted to join the forward-thinking team at Authorea. We share the mission of accelerating scientific discovery through superior research communication tools, and a big part of that is providing authors the tools to control their research from initial spark to output."##

Sergey Brin

and 2 more

This paper was originally published on January 29, 1998 at http://ilpubs.stanford.edu:8090/422/1/1999-66.pdf. This is the HTMLized version, created because such an important paper about the web deserves more than a PDF.AbstractThe importance of a Web page is an inherently subjective matter, which depends on the readers interests, knowledge and attitudes. But there is still much that can be said objectively about the relative importance of Web pages. This paper describes PageRank, a method for rating Web pages objectively and mechanically, effectively measuring the human interest and attention devoted to them. We compare PageRank to an idealized random Web surfer. We show how to efficiently compute PageRank for large numbers of pages. And, we show how to apply PageRank to search and to user navigation.1. Introduction and MotivationThe World Wide Web creates many new challenges for information retrieval. It is very large and heterogeneous. Current estimates are that there are over 150 million web pages with a doubling life of less than one year. More importantly, the web pages are extremely diverse, ranging from "What is Joe having for lunch today?" to journals about information retrieval. In addition to these major challenges, search engines on the Web must also contend with inexperienced users and pages engineered to manipulate search engine ranking functions. However, unlike "at" document collections, the World Wide Web is hypertext and provides considerable auxiliary information on top of the text of the web pages, such as link structure and link text. In this paper, we take advantage of the link structure of the Web to produce a global "importance" ranking of every web page. This ranking, called PageRank, helps search engines and users quickly make sense of the vast heterogeneity of the World Wide Web.1.1 Diversity of Web PagesAlthough there is already a large literature on academic citation analysis, there are a number of significant differences between web pages and academic publications. Unlike academic papers which are scrupulously reviewed, web pages proliferate free of quality control or publishing costs. With a simple program, huge numbers of pages can be created easily, artificially inflating citation counts. Because the Web environment contains competing profit-seeking ventures, attention-getting strategies evolve in response to search engine algorithms. For this reason, any evaluation strategy which counts replicable features of web pages is prone to manipulation. Further, academic papers are well-defined units of work, roughly similar in quality and number of citations, as well as in their purpose to extend the body of knowledge. Web pages vary on a much wider scale than academic papers in quality, usage, citations, and length. A random archived message posting asking an obscure question about an IBM computer is very different from the IBM home page. A research article about the effects of cellular phone use on driver attention is very different from an advertisement for a particular cellular provider. The average web page quality experienced by a user is higher than the quality of the average web page. This is because the simplicity of creating and publishing web pages results in a large fraction of low-quality web pages that users are unlikely to read. There are many axes along which web pages may be differentiated. In this paper, we deal primarily with one - an approximation of the overall relative importance of web pages.1.2 PageRankIn order to measure the relative importance of web pages, we propose PageRank, a method for computing a ranking for every web page based on the graph of the web. PageRank has applications in search, browsing, and traffic estimation. Section 2 gives a mathematical description of PageRank and provides some intuitive justification. In Section 3, we show how we efficiently compute PageRank for as many as 518 million hyperlinks. To test the utility of PageRank for search, we built a web search engine called Google (Section 5). We also demonstrate how PageRank can be used as a browsing aid in Section 7.3.2 A Ranking for Every Page on the Web2.1 Related WorkThere has been a great deal of work on academic citation analysis \cite{Garfield}. Goffman \cite{Goffman_1971}  has published an interesting theory of how information flow in a scientific community is an epidemic process. There has been a fair amount of recent activity on how to exploit the link structure of large hypertext systems such as the web. Pitkow recently completed his Ph.D. thesis on "Characterizing World Wide Web Ecologies"\cite{Pirolli_1996,Catledge_1995} with a wide variety of link-based analysis. Weiss discuss clustering methods that take the link structure into account \cite{Weiss_1996}. Spertus \cite{Spertus_1997} discusses information that can be obtained from the link structure for a variety of applications. Good visualization demands added structure on the hypertext and is discussed in \cite{Mukherjea_1995,Mukherjea_1995a}. Recently, Kleinberg \cite{Kleinberg_1999} has developed an interesting model of the web as Hubs and Authorities, based on an eigenvector calculation on the co-citation matrix of the web. Finally, there has been some interest in what "quality" means on the net from a library community \cite{Tillman}. It is obvious to try to apply standard citation analysis techniques to the web's hypertextual citation structure. One can simply think of every link as being like an academic citation. So, a major page like http://www.yahoo.com/ will have tens of thousands of backlinks (or citations) pointing to it. This fact that the Yahoo home page has so many backlinks generally imply that it is quite important. Indeed, many of the web search engines have used backlink count as a way to try to bias their databases in favor of higher quality or more important pages. However, simple backlink counts have a number of problems on the web. Some of these problems have to do with characteristics of the web which are not present in normal academic citation databases.2.2 Link Structure of the WebWhile estimates vary, the current graph of the crawlable Web has roughly 150 million nodes (pages) and 1.7 billion edges (links). Every page has some number of forward links (outedges) and backlinks (inedges) (see Figure 1). We can never know whether we have found all the backlinks of a particular page but if we have downloaded it, we know all of its forward links at that time.