The
paper enttiled "Advancing Drug Discovery via Artificial
Intelligence" by the team member of AlphaMol has been in the
list of Highly Cited Article (HCA). The total citation of this
work is over 310 times by April 2023.
Chan,
H. C. S., Shan, H., Dahoun, T., Vogel, H., & Yuan, S.* (2019).
Advancing Drug Discovery via Artificial Intelligence. Trends in
Pharmacological Sciences.
doi:10.1016/j.tips.2019.06.004
10.1016/j.tips.2019.06.004 (full
text)
Highly
cited articles are papers that perform in the top one percent based
on the number of citations received when compared to: 1) other papers
published in the same field, and 2) other papers published in the
same year.
Generally speaking, citations tend to peak in
the second through fourth year after publication, but there are
exceptions to this rule. Some papers continue to be cited for many
years—and a few papers are even recognized much later on.
These
patterns can depend on several factors, including the type of paper,
the field, and the nature of the finding(s) reported in the
publication. For example, articles reporting new discoveries can
quickly rise to the top and then just as quickly fall into obscurity
as the discovery is further explored or elaborated on in other
articles. Conversely, articles reporting methods or techniques for
research can slowly increase in citation frequency over the course of
several years, as the methods become disseminated throughout the
scientific community and prove their value.