Package 'MDPIexploreR'

Article data extracted from MDPI journal Agriculture

Description

Article data extracted from MDPI journal Agriculture

Usage

agriculture

Format

agriculture

A data frame with 7,160 rows and 7 columns:

i

Article URL

article_type

Article tyope classifier

Received

Date article was submitted to journal

Accepted

Date article was accepted for publication

tat

Article turnaround time, or Accepted-Received

year

Year the article was accepted

issue_type

Type of issue where article is published

...

---

This function retrieves the URLs for all published articles from a specified journal. Users can provide the journal's code 'see MDPI_journals.rda', and the function will return the URLs of all articles available within the journal.

Description

This function retrieves the URLs for all published articles from a specified journal. Users can provide the journal's code 'see MDPI_journals.rda', and the function will return the URLs of all articles available within the journal.

Usage

article_find(journal)

Arguments

journal

A string containing the name of a MDPI journal

Value

A vector (class: character) containing a list of articles URLs from target journal

Examples

agr_articles<-article_find("agriculture")

---

This function extracts key editorial information from one or more paper URLs. Specifically, it retrieves the submission, revision, and acceptance dates, as well as the article type. The function also calculates the turnaround time (the duration from submission to acceptance) and identifies whether the paper is part of a special issue.

Description

This function extracts key editorial information from one or more paper URLs. Specifically, it retrieves the submission, revision, and acceptance dates, as well as the article type. The function also calculates the turnaround time (the duration from submission to acceptance) and identifies whether the paper is part of a special issue.

Usage

article_info(vector, sleep = 2, sample_size, show_progress = TRUE)

Arguments

vector	A vector with urls.
sleep	Number of seconds between scraping iterations. 2 sec. by default
sample_size	A number. How many papers do you want to explore from the main vector. Leave blank for all
show_progress	Logical. If TRUE, a progress bar is displayed during the function execution. Defaults to TRUE.

Value

A data frame (class: data.frame) with the following columns:

i

The URL of the article from which the information is retrieved.

article_type

The classification of the article (e.g., editorial, review).

Received

The date the article was received by the publisher.

Accepted

The date the article was accepted for publication.

tat

The turnaround time, calculated as the number of days between the received and accepted dates.

year

The year in which the article was accepted for publication.

issue_type

Indicates whether the article is part of a special issue.

Examples

url<-c("https://www.mdpi.com/2073-4336/8/4/45","https://www.mdpi.com/2073-4336/11/3/39")

info<-article_info(url, 1.5)

---

This function will standardize the editors and authors names to facilitate matching them to one another.

Description

Takes a vector of names to return the names without abbreviated middle names, academic titles and hyphens.

Usage

clean_names(name_vector)

Arguments

name_vector

A string with names separated by commas

Value

A vector (class: character) containing names

Examples

clean_names(c("Matthias M. Bauer","Thomas Garca Morrison","Wolfgang Nitsche", "Elias Biobaca L." ))

---

Obtain information from guest edited special issues

Description

#' Extracts data from special issues, 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.

Usage

guest_editor_info(journal_urls, sample_size, sleep = 2, show_progress = TRUE)

Arguments

journal_urls	A list of MDPI special issues URLs
sample_size	A number. How many special issues 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 to TRUE.

Value

A data frame (class: data.frame) with the following columns:

special_issue

The URL of the special issue from which the information is retrieved.

num_papers

Number of special issues contained in the special issue, not considering editorial type articles

flags

Number of articles in the special issue with guest editorial pressence

prop_flag

Proportion of articles in the special issue in which a guest editor is present

deadline

Time at which the special issue was or will be closed

latest_sub

Time at which last article present in the special issue 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 special issue where the academic editor is a guest editor too

d_over_deadline

Day differential between special issue closure and latest article submission

Examples

ge_issue<-"https://www.mdpi.com/journal/plants/special_issues/5F5L5569XN"
ge_info<-guest_editor_info(ge_issue)

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Article data extracted from MDPI journal Horticulturae

Description

Article data extracted from MDPI journal Horticulturae

Usage

horticulturae

Format

horticulturae

A data frame with 7,160 rows and 7 columns:

i

Article URL

article_type

Article tyope classifier

Received

Date article was submitted to journal

Accepted

Date article was accepted for publication

tat

Article turnaround time, or Accepted-Received

year

Year the article was accepted

issue_type

Type of issue where article is published

...

---

MDPI journal names and code

Description

Extracts names and codes of current MDPI journals.

Usage

MDPI_journals()

Value

A data frame (class: data.frame) with the following columns:

journal

Full name of the MDPI journal

num_papers

Journal code used for ID and web scraping purposes

Examples

journal_table<-MDPI_journals()

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Plots informaton obtained from article_info

Description

Plots informaton obtained from article_info

Usage

plot_articles(articles_info, journal, type)

Arguments

articles_info	Output dataframe from function articles_info.
journal	A string with the name of the journal for graph title purposes
type	select "summary","issues" or "type" depending on desired graph

Value

A plot (class: ggplot) depicting the desired information obtained from article_info

Examples

plot_articles(agriculture,"Agriculture",type="summary")

---

Calculates number of authors selfcitations against all references

Description

Calculates number of authors selfcitations against all references

Usage

selfcite_check(article_url, verbose = TRUE)

Arguments

article_url	A valid MDPI article url
verbose	Logical. If TRUE, informative messages will be printed during the function execution. Defaults to TRUE.

Value

A string (class: data.frame)with the following columns:

selfcite

The number of articles in references authored by any of the main article authors

total_ref

Total number of references in the article

Examples

paper_url<-"https://www.mdpi.com/2223-7747/13/19/2785"
sc<-selfcite_check(paper_url)

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Retrieves all special issues of a specified journal with URLs. Filters results by issue status (open, closed, or all) and optional year range.

Description

Retrieves all special issues of a specified journal with URLs. Filters results by issue status (open, closed, or all) and optional year range.

Usage

special_issue_find(journal, type = "closed", years = NULL, verbose = TRUE)

Arguments

journal	MDPI journal code
type	"closed", "open" or "all" special issues. "closed" by default.
years	A vector containing special issues closure dates to limit the search to certain years
verbose	Logical. If TRUE, informative messages will be printed during the function execution. Defaults to TRUE.

Value

A vector.

Examples

special_issue_find("covid")

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