Table 1 bibliometric features explanations and computation methods. We use MAG to produce the features in this table
Bibliometric feature | Computational method |
|---|---|
Field of study | We estimate this feature for each journal by aggregating their publications’ field of study, which is predicted by Microsoft Academic Graph (MAG) with hierarchical topic modeling |
The number of publications | We estimate this feature for each journal by counting unique publications in these journals from MAG |
Average h-index of Authors | We estimate this feature for each journal by computing h-index of authors in MAG and then take the average of the authors in each journal |
Journal Rank | The rank of a journal is computed by MAG based on the citation network of publications. The more top-ranked journals (the smaller the rank is) get more citations from the citation network |
Author academic age | We estimate this feature for each journal by computing the number of years to 2022 since the authors’ year of first publications in MAG and then take the average of the authors for each journal |
Journal age | The number of years to 2022 since the year of the journal’s first publication in MAG |