Relation analysis

This functionality enable the computing of a comprehensive set of topological parameters. Networks were generally described in terms of the number of nodes and edges, as well as metrics of degree, characteristic path length, clustering coefficient or the average number of neighbors. This functionality allow their measure and visualisation.

Correlation analysis

This functionality depicts the average coefficient of association among the different semantic categories (i.e. evaluates the number of times that the different categories appear in the same document) Positive numbers indicate that concepts related to both categories are usually mentioned in the same article. The greater their association, the more important their relationship. On the other hand, negative correlations indicate the lack of studies that deal with both topics at the same time.

Table detailing the node information

This functionality structure the node information of the present search in a sortable and searchable table.

Table detailing the edge information

This functionality structure the annotated relationship information of the present search in a sortable and searchable table.

Bibliometrics statistics

This functionality enable the visualisation of the different biblimetrics related the present search like the most relevant authors, the top funding countries of the different studies , the most related MESH terms and another relevant statistical charts about the evaluated articles

Reference statistics

This functionality enable the visualisation of the different statistics related about the cited references of the evaluated studies in the present search like the most cited PMIDS articles

Social statistics

This functionality enable the visualisation of different statistics obtained from the Twitter social network related with the executed query such as most retwitted urls, most active users or most used hashtags and visualise a sample of different user messages directly related to the search terms.