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Press Release: UNSILO [December 5, 2019]

PeerJ integrates the UNSILO Reviewer Finder API to optimize peer review workflows

San Diego, USA and Aarhus, Denmark, December 4 , 2019. UNSILO is pleased to announce the adoption of its Reviewer Finder API by PeerJ, the award-winning biological, medical and environmental sciences journal. The Reviewer Finder API, part of the UNSILO Evaluate suite, will support the task of matching manuscripts with reviewers, and will be integrated with PeerJ's manuscript tracking and peer review suite.

Peter Binfield, Publisher and Co-Founder of PeerJ said, "From the outset, PeerJ has continually introduced new tools and services to improve the quality of the peer-review process. By helping our editors find relevant reviewers, UNSILO's Reviewer Finder API will save the academic community time, help our authors receive rigorous feedback, and facilitate the sharing of world-class research findings."

Thomas Laursen, CEO of UNSILO, commented, "PeerJ is known for decision turnaround times that are multiple times faster than competing benchmarks, pain-free review submission interfaces, high quality peer review, and for exceeding the expectations of authors. To be selected by PeerJ, a leader in submission and review process efficiency, speaks to the combined speed, accuracy, and affordable ROI that our AI-driven Reviewer Finder provides over competing alternatives. If we look beyond PeerJ, a recent report on the global state of peer review found that 75% of editors agree that finding reviewers is the hardest task, and 71% of reviewers from time to time reject invitations because of poor scope matching of manuscripts with their expertise (1). Our Reviewer Finder avoids the traditional pitfalls of trying to match author keywords with static reviewer keyword tags, and instead provides real-time semantic analyses and topical matching of manuscripts with continuously updating publication histories of reviewer candidates. In addition, the software filters reviewers for conflicts of interests, and it provides a range of novel data points for editors to assess new and existing reviewers. As an emerging leader in this space, we are looking forward to working with PeerJ to make reviewer matching the best it can be."

(1) 2018 Global State of Peer Review. Publons 2018.

https://publons.com/static/Publons-Global-State-Of-Peer-Review-2018.pdf

About PeerJ

PeerJ is an Open Access publisher of seven peer-reviewed journals covering biology, environmental sciences, computer sciences, and chemistry. With an emphasis on high-quality and efficient peer review, PeerJ's mission is to help the world efficiently publish its knowledge. All works published by PeerJ are Open Access and published using a Creative Commons license (CC-BY 4.0). PeerJ is based in San Diego, CA and the UK and can be accessed at: peerj.com

Across its journals, PeerJ has an Editorial Board of over 2,000 respected academics, including 5 Nobel Laureates. PeerJ has been awarded the Association of Learned and Professional Society Publishers "Award for Publishing Innovation". PeerJ Media Resources (including logos) can be found at: peerj.com/about/press

About UNSILO

UNSILO is an artificial intelligence software company that develops advanced tools for text understanding and processing. UNSILO tools deliver dramatic workflow improvements by reducing processing time, while at the same time improving quality and accuracy. The UNSILO Document Enrichment service forms the basis of over 20 separate functional solutions and APIs for publishers, including identifying trending topics as they emerge, automated collections, locating precise relatedness, and now manuscript evaluation. UNSILO works with world-leading information services in research to improve discoverability across their platforms and internal publishing processes. For more information, visit unsilo.ai .


Summary: UNSILO is pleased to announce the adoption of its Reviewer Finder API by PeerJ, the award-winning biological, medical and environmental sciences journal. The Reviewer Finder API, part of the UNSILO Evaluate suite, will support the task of matching manuscripts with reviewers, and will be integrated with PeerJ’s manuscript tracking and peer review suite.
Publication Year:2019
Type of Material:Press Release
LanguageEnglish
Date Issued:December 5, 2019
Publisher:UNSILO
Company:
Company: UNSILO
Permalink: https://librarytechnology.org/pr/24729

LTG Bibliography Record number: 24729. Created: 2019-12-05 06:41:53; Last Modified: 2019-12-05 06:42:03.