#' Extracts data from topics, including guest editors' paper counts excluding editorials, time between last submission and issue closure, and whether guest editors served as academic editors for any published papers. Includes names of journals participating in topic
Arguments
- journal_urls
A list of MDPI topics URLs
- sample_size
A number. How many topics do you want to explore from the main vector. Leave blank for all
- sleep
Number of seconds between scraping iterations. 2 sec. by default
- show_progress
Logical. If
TRUE
, a progress bar is displayed during the function execution. Defaults toTRUE
.
Value
A data frame (class: data.frame
) with the following columns:
- topic
The URL of the topics contained in the topic, not considering editorial type articles
- flags
Number of articles in the topic with guest editorial pressence
- prop_flag
Proportion of articles in the topic in which a guest editor is present
- deadline
Time at which the topic was or will be closed
- latest_sub
Time at which last article present in the topic was submitted
- rt_sum_vector2
Numeric vector showing number of articles in which each individual guest editor is present
- aca_flag
Number of articles in the topic where the academic editor is a guest editor too
- d_over_deadline
Day differential between topic closure and latest article submission
- journals
List of journals participating in the topic