Data from: Measuring researchers’ potential scholarly impact with structural variations: four types of researchers in information science (1979–2018)

Xiucai Yang, Jianhua Hou & Chaomei Chen
We propose a method to measure the potential scholarly impact of researchers based on network structural variations they introduced to the underlying author co-citation network of their field. We applied the method to the information science field based on 91,978 papers published between 1979 and 2018 from the Web of Science. We divided the entire period into eight consecutive intervals and measured structural variation change rates (DM) of individual authors in corresponding author co-citation networks....
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?