Analytics

Curvenote Reader provides rich analytics so you can understand how readers engage with your content — going beyond simple page counts to show how readers actually explore your articles.

What’s measured¶

• Page views — which articles and versions are being read.

• Downloads — when readers take content with them.

• Interaction events — signals that reveal reading behavior, for example:

  • hovering over citations,

  • diving into links and cross-references,

  • expanding figures, and

  • moving between versions.

Together, these show not just what readers open, but how they explore — helping you understand which articles, figures, and references draw the most attention, and how your audience interacts with your content.

Human and automated traffic¶

Not all traffic is human. Search crawlers, scrapers, and AI agents can inflate raw counts, so Curvenote Reader analytics are designed to distinguish automated traffic from human readers — letting you see both how people read and how agents access your content, without conflating them. Page views and downloads can be segmented into human and automated traffic, while interaction events such as hovering over citations or expanding figures are inherently human, since automated traffic does not generate them.

For how this traffic is controlled at the endpoint, see Bots & AI traffic.