  Following in the footsteps of the model of scientific communication, which
has recently gone through a metamorphosis (from the Gutenberg galaxy to the Web
galaxy), a change in the model and methods of scientific evaluation is also
taking place. A set of new scientific tools are now providing a variety of
indicators which measure all actions and interactions among scientists in the
digital space, making new aspects of scientific communication emerge. In this
work we present a method for capturing the structure of an entire scientific
community (the Bibliometrics, Scientometrics, Informetrics, Webometrics, and
Altmetrics community) and the main agents that are part of it (scientists,
documents, and sources) through the lens of Google Scholar Citations.
  Additionally, we compare these author portraits to the ones offered by other
profile or social platforms currently used by academics (ResearcherID,
ResearchGate, Mendeley, and Twitter), in order to test their degree of use,
completeness, reliability, and the validity of the information they provide. A
sample of 814 authors (researchers in Bibliometrics with a public profile
created in Google Scholar Citations was subsequently searched in the other
platforms, collecting the main indicators computed by each of them. The data
collection was carried out on September, 2015. The Spearman correlation was
applied to these indicators (a total of 31) , and a Principal Component
Analysis was carried out in order to reveal the relationships among metrics and
platforms as well as the possible existence of metric clusters
