Statistical tools and editorial analysis

Textual and Visual Media periodically carries out an internal review of key indicators related to its editorial activity and impact. This process includes the analysis of data on authorship, institutional and geographical origin of contributors, thematic areas covered, digital visibility, and reading and consultation metrics. These evaluations make it possible to identify trends, detect areas for improvement and reinforce the positioning of the publication in the academic sphere.

To monitor the digital audience, Textual and Visual Media uses tools such as Google Analytics, integrated into its website, which provide accurate data on web traffic in real time. This information includes the number of visitors, their geographical location, the average time spent on the website, as well as the most consulted pages or articles. These indicators make it possible to assess the journal's international reach and to better understand the reading habits of its academic community.

In addition to the analysis through external tools, the journal produces its own editorial statistics based on the content published. In the last internal evaluation, relevant data were identified, such as:

  • 35 % of the authors came from international institutions.
  • Contributions from more than 20 universities were counted, of which 45 % were from abroad.
  • 50 % of the articles published were directly related to the monographic theme proposed in that issue.
  • There was a 40% increase in the number of reviewers compared to the previous year.
  • The number of international members on the editorial and scientific committees increased by 60%.
  • In terms of interdisciplinarity, 12 areas of knowledge were identified as being represented in the contributions, which is evidence of the cross-disciplinary approach of the journal.

These data allow us to compare the evolution of the journal with previous years, showing the progressive fulfilment of its strategic objectives, such as the promotion of internationalisation, scientific quality and disciplinary diversity. At the same time, the statistical analysis serves as a basis for defining new editorial goals within the framework of its continuous improvement plan.