  Scientific digital libraries provide users access to large amounts of data to
satisfy their diverse information needs. Factors influencing users' decisions
on the relevancy of a publication or a person are individual and usually only
visible through posed queries or clicked information. However, the actual
formulation or consideration of information requirements begins earlier in
users' exploration processes. Hence, we propose capturing the (in)stability of
factors supporting these relevancy decisions through users' different levels of
manifestation.
