A basic knowledge of bibliometric methods and indicators allows scientists to better and more appropriately assess their research performance based on bibliometrics. In bibliometric analyses, it is also of interest to understand by whom and in what way the research results are received. By evaluating the citing channels (news, scientific articles, tweets, blogs, etc.), target groups can be defined more precisely. Projects such as Scite.ai are also looking at ways of evaluating whether a publication is discussed more approvingly or disapprovingly. Bibliometric analyses can also be helpful in identifying potential cooperation partners.

Even if bibliometric indicators can be influenced - for example by self-citations - the writing of a scientific publication should always be oriented towards the subject matter, the discipline, as well as good scientific practice and comprehensibility - and not towards bibliometric optimization.

For the visibility of one's own publications and to increase their citations, the clear identifiability of the publication medium, the concrete publication, the authors, and their institutional affiliation are a prerequisite. This requires a complete and correct indication of authorship and affiliation as well as persistent identifiers (e.g. an ORCID iD on the person level and a DOI on the article level). Equally important for findability is the use of standardized keywords and the choice of meaningful titles.