Metrics

CXRGraph: Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation (v1.0.0)

Unique Registered Project Views

93

Current Version

93

All Versions
Total number of unique registered users who have viewed this project. Views tracked since February 2025.

Scholar Data Metrics

These metrics are provided by Scholar Data as part of the NIH S-Index Challenge. They are experimental and currently being evaluated for potential integration.
Citations

1

Total scholarly citations
Mentions

0

Non-academic references
FUJI Score

73.0

FAIR assessment (v0.8)
D-Index

2.1

Dataset impact index (2025)

Views Over Time

Month Unique Viewers
June 2025 7
May 2025 14
April 2025 9
March 2025 9
February 2025 14

Back to CXRGraph: Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation v1.0.0