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New Milestone for MIT Faculty Open Access Policy
This post by Ellen Duranceau originally appeared on the MIT Libraries news page.
A new milestone was reached in collecting articles under the MIT Faculty Open Access Policy: 43% of the articles published by faculty since they adopted their Policy are now being shared through the Open Access Articles Collection in Dspace@MIT.
As of the end of July 2015, downloads of the 17,400 articles deposited in relation to the Policy topped 3.3 million, with over 83,500 downloads during the month.
Recent readers included:
- A researcher and inventor who used a paper for a presentation at a conference, writing “I’m privileged to cite this paper…Thanks for making this paper freely available!”
- A PhD candidate in the UK without access to papers on human factors in blood transfusion, who read “Systems thinking for safety and security,” by William Young and MIT Professor Nancy Leveson, indicating that it (and related papers) were “invaluable. Many thanks.”
- A researcher in New Zealand reading about power in organizations who wrote “wow – thank you – this is an amazing initiative.”
Recent readers come from many walks of life and corners of the globe, including:
- a journalist in India trying to make a deadline,
- a French ophthalmologist working with imaging tools,
- a physical therapist from India,
- an amateur aviation aficionado, and
- an independent researcher of prison reform.
Other readers’ comments are available at the Scholarly Publishing website.
Among the top 10 most downloaded articles for the month of July 2015 were:
- Simultaneous mid-range power transfer to multiple devices by MIT Professor Marin Soljacic and co-authors
- Lipid-Modified Aminoglycoside Derivatives for In Vivo siRNA Delivery by MIT Professor Daniel Griffith Anderson and co-authors
- Resonant body transistors in standard CMOS technology by Professor Luca Daniel and co-authors
- An Independent Assessment of the Technical Feasibility of the Mars One Mission Plan by MIT graduate students Sydney Do and Andrew Charles Owens and MIT Professor Olivier de Weck, and co-authors
- Sampling-based algorithms for optimal motion planning by MIT Professors Sertac Karaman and Emilio Frazzoli.
To view download statistics, including on a global map, visit the Open Access Article Statistics site.