Molecular Connections built a Journal Recommendation Service for IFIS, the food and health sciences publisher. It analyses abstracts and matches them to journal scopes across the FSTA database of trusted journals — over 1,000 titles, food-focused and interdisciplinary.
Benefits & outcomes
Steers authors away from unsuitable or predatory journals.
30% rise in platform traffic reported.
Authors can fine-tune titles and abstracts against target journals.
Minimal retraining needed as the database grows.
Notes & quotes
"Utilizing Molecular Connections’ robust state-of-the-art deep learning algorithms, the team developed the only journal finder tool designed especially for researchers in the sciences of food and health." — MC's case study
Publisher / company: Molecular Connections
Date of mention: 01/01/2025
Source: https://mcpublishing.co.in/case_studies/ifs-jrs/