How does Reviewer Finder intend to help?
We help by searching a pool of data for suitable reviewers (hopefully we can find contacts that you do not know) and providing information about their profile, past publications, and possible conflicts of interests to help you make a decision on whether to invite the reviewer to review or not.
What data source is the tool searching?
The tool is searching data from Web of science (provided by Clarivate Analytics) through Target Author Data Graph.
Clarivate Analytics ISI Web of Science - Web of Science is highly comprehensive and multidisciplinary in its journal coverage. Sources include leading STM, humanities, and social science journals.
How does the search algorithm work?
The matching process uses two concepts to create the matching algorithm.
- Data Graph: A data graph is constructed from a data source (Web of Science) to create a unique list of authors, their organizational details and publishing history.
- Suggestion Engine: Entering basic manuscript attributes into the Reviewer Finder tool, such as Title, Abstract text, Keywords and names of the Authors causes the suggestion engine to recommend authors that it calculates will be a good match for peer review.
The software defines a good match to be someone who has a similar publishing profile to that of the manuscript author. Therefore the algorithm attempts to find individuals who have published material that most closely resembles that of the original author.
What should I do once I’ve finished searching?
We present the data as we find it and suggest that you confirm there aren’t any conflicts of interests using your usual methods until you’re confident our tool delivers results you’re happy with.
What should I do if I have a question?
Please send your questions to firstname.lastname@example.org and we will be sure to provide an answer!