How do I know if I can trust the Journal Reader data?

If you’re using our Journal Reader data you’re viewing PubMed journal article insights and trends as they emerge. That can be helpful, however, it comes with its own unique challenges and limitations.

Known Limitations

Identification Errors: The Journal Reader may occasionally make errors, such as identifying incorrect drugs or proteins and misinterpreting relationships between entities. These errors are part of the challenges faced in automating complex data interpretation.

Quality of Sources: The tool includes evidence from articles that may not meet high-quality standards, including those that have been retracted. This inclusion can impact the reliability of the data provided.

How can I use this data with confidence?

When you’re in the Table Builder with the Journal Reader turned on you’ll see a few elements that have been included to help you navigate this data specifically:

1. Reading Comprehension Ratings: Each piece of Journal Reader data comes with a comprehension rating, that you can use to gauge the reliability of the information based on how well the AI understood the source material.

2. Embedded sources: By clicking the RCR icon you can access the underlying evidence for any Journal Reader data point and review of the original articles or sources. 

   

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We value your experience and are eager to hear your thoughts. Whether it’s a hiccup or a suggestion, your feedback is a vital part of this development process. Send us feedback.