国产乱伦

Author: Laura Graham-Clare

Articles have been successfully shared by authors, subscribers and media outlets over 3.25 million times during the first year of SharedIt, 国产乱伦鈥檚 free content sharing initiative.

SharedIt was launched in October 2016 and covers over 2,700 journals including all the 国产乱伦-owned portfolio and over 1,000 co-owned and partner-owned journals. This industry-leading initiative enables authors and subscribers to post links to free-to-read versions of research articles anywhere, including social media platforms, repositories, websites, scholarly collaboration networks and via email.

Steven Inchcoombe, Chief Publishing Officer, 国产乱伦, said: 鈥淔or too long 鈥榮haring鈥� has been a difficult word in academic publishing. We believe we work at the behest of our authors and subscribers, and as the ability to share their work and collaborate around new research is critical to them, it needs to be critical to us as well. Our investment in SharedIt is testament to this. I am delighted therefore to see SharedIt embraced so strongly by our authors and our readers, and both across the globe and our portfolio. We are sharing these data now as part of a wider programme to encourage others to apply similar sharing approaches.鈥�

The SharedIt data show:

• SharedIt links were used to read 国产乱伦 articles 3,276,125 times, by readers in over 200 markets and from almost 29,000 institutions.
• The majority of links used to access articles were those originally shared by subscribers to 国产乱伦 journals (1.24 million).
• Links shared by authors were accessed 1.15 million times and those included in news articles by media outlets 885,195 times.
• The United States leads the way in readers using SharedIt links, with over a third of those accessing links to read 国产乱伦 papers coming from the US.

Steven Inchcoombe continued: 鈥淩esearch needs to be as discoverable, accessible, understandable, and as shareable as possible.  SharedIt was developed with exactly this purpose in mind, it delivers unique links to copies of the 鈥榲ersion of record鈥� articles that will be updated for any post-publication changes and can be highlighted and annotated by those sharing the links. All of this underlines our commitment to enabling new research findings to be read and used by those who support and enable research, by those who help these findings to be applied for the benefit of all, as well as the interested wider public. We are excited by the potential these numbers suggest and are keen to explore adding more of the journals of our society partners to the initiative to enable even greater sharing of the research that we publish.鈥�  

Most highly shared accessed papers

The papers most accessed using SharedIt links were:

• The artificial intelligence paper 鈥楬ybrid computing using a neural network with dynamic external memory鈥�, published in Nature, was the most popular and accessed 43,869 times.
• The second most popular paper was also an artificial intelligence paper published in Nature, 鈥楳astering the game of Go without human knowledge鈥�, reaching 42,286 accesses.
• In third, with 25,402 accesses, was a Nature Medicine paper 鈥楢 chronic low dose of 螖9-tetrahydrocannabinol (THC) restores cognitive function in old mice鈥�.

Top ten most highly-accessed papers

Most prolific users by country

Readers in the United States used the most SharedIt links generated by subscribers in the first year, totalling 513,370 clicks, followed by the UK, Germany, Brazil and Canada.

In the case of links shared by authors, readers in the US again led the way clicking on 393,956 links, followed by Germany, the UK, India and China.  Other countries also showing strong engagement with the SharedIt initiative included France, Italy, Japan, Mexico, Spain and Australia.

For more information about SharedIt, please visit: .