The iCite:Translation provides a panel of information summarizing the content of journal publications within a defined analysis group. Articles are assigned scores in three categories: Human, Animal, and Molecular/Cellular Biology, based on the number of Medical Subject Heading (MeSH) terms they have that fall into each of these categories. The data produced by iCite:Translation can be downloaded as a customized report from the dashboard and could be used to understand the content of articles within an analysis group. An example application for iCite:Translation might be to compare how close to human clinical applications two portfolios of articles are. iCite:Translation is limited to analyzing only articles that appear in PubMed; users upload the PubMed IDs for articles within the analysis group of interest.
iCite:Translation uses data and visualizations from the Triangle of Biomedicine. This approach uses MeSH terms from PubMed to classify papers as a combination of Human, Animal, or Molecular/Cellular Biology research. Papers are plotted on a tripartite graph, where human-oriented research is closest to the top corner of the triangle, animal oriented research is closest to the bottom right corner, and molecular/cellular biology research is closest to the lower left corner.
The Translation Module also includes the Approximate Potential to Translate (APT) metric, a machine learning-based estimate of the likelihood that a paper will be cited in later clinical articles, and information about whether publications have been cited by clinical documents (see here).