Systematic and stratified sampling was employed and, using the Cochrane formula, the sample size was determined to be 1892 articles. This descriptive-correlation study investigates the relationships between different variables based on its proposed conceptual model. This study aimed to assess the paths through which save metrics (on CiteULike, Mendeley, and Figshare) and discussion metrics (on Twitter, Facebook, and Wikipedia) influence citation. The results add further support to the find-ings of the initial digital visibility study.
It was found that, as predicted on the basis of our earlier results, use did indeed increase as a result of improving topic visibility. Transactional log analysis was used to monitor the changes that occurred, the key metrics em-ployed being number of users, number of page views, num-ber of pages viewed in a session and number of visits made. The study was conducted over a three-month period when the links to the two health topics were placed on the home page and then moved and changed three times. Specifically the paper examines the change in use that results from increasing the prominence of two health pages – the cancer menu and cardiopulmonary resuscitation page on the Web site. This study repeats Ciber's digital visibility study, which was concerned with a Digital Interactive Television (DiTV) health information service, but this time the subject is a UK consumer health Web site, MedicDirect, a site attracting around a thousand users and 10,000 page views a day. It is a concept that describes and explains the impact of menu and topic prominence on trans-action log (usage) statistics. Digital visibility, a term coined by the Ciber research team at UCL, argues that use/consumption in the digital environ-ment is not simply a function of need it is also a function of visibility or prominence.