PRESS RELEASE | Bangalore, INDIA 2020
Molecular Connections and IFIS recently partnered to develop the Journal Recommendation Service, a new tool for authors in the sciences of food and health.
Choosing the right journal for an article submission is often challenging.There are many factors for authors to take into consideration – scope, quality and metrics, access options, amongst others. Improper selection leads to an increased risk of rejection and wasted time and resources for both the author and the journal’s editorial team.
Designed to help authors with this essential step in the publication process, the JRS is a global, publisher-neutral service which matches the manuscript abstract to the journal scope using artificial intelligence(AI) and machine learning techniques.
Molecular Connections adapted its proprietary machine learning platform MC MINER™ for semantic fingerprinting the manuscript and harmonized it with the scope of the journals. Upon submission of the manuscript title and abstract by the author, the MC-developed AI engine performs real-time analysis of the content. The engine uses article level fingerprints and embedded domain specific machine-learning algorithms to identify the best matching journals. The system provides a list of upto ten matching journals, along with three recent articles from the journal to ease the process of journal selection. The system also provides options to filter the recommendations by country, Open Access options, Publisher and more.
Speaking on the occasion Mr. Jignesh Bhate mentioned: “With changing trends in publishing, Author services are increasing in significance. MC’s Proprietary Journal Recommendation System can be easily adapted to any domain & reduces rejection rate significantly for publishers, making it a win- win for both Authors and publishers. The whole system can be developed and deployed in less than 100 days.”
Jonathan Griffin, Managing Director of IFIS commented: “Since 1968, IFIS has been curating an abstracting and indexing database covering the sciences of food and health called FSTA. Until now the database has been used primarily to identify relevant articles. Working with MC, we have been able to repurpose the data to deliver another valuable service for researchers. The JRS not only helps researchers identify the most relevant journals to publish in, but also avoid submitting to predatory journals.”
