Why are usage statistics important?
Usage statistical data has enormous potential as
- it is available much earlier than citation analysis: recording is started immediately after publication - very rapid indicator of scholarly trends (no publication delays)
- it can be recorded for all types of scholarly communications: papers, journals, preprints, blogs, datasets, chemical structures, software etc. (and not just 10,000 journals)
- metrics for the item-level (i.e., publication) are more meaningful especially for documents on repositories
- it can be applied in an aggregated form so that more accurate and timely conclusions are derived within a specific discipline or region
- it will allow to compare usage data across repositories on a European level, when centrally aggregated