Package 'rcademy'

ABDC Journal Quality List

Description

This is a dataset that contains the quality list of rankings of the Australian Business Deans Council (ABDC). You can read more about this list here.

Usage

data(abdc)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 2680 rows and 7 columns.

Details

Format: a data frame with 2680 observations on the following 7 variables:

title:

Title of the journal

publisher:

Publishing house

issn:

International Standard Serial Number

issn_online:

ISSN Online - as ISSN, but for the online, rather than print version

year_inception:

Year the journal started

field_of_research:

Field of Research Code as provided by the Australian Bureau of Statistics

rank:

In order of best to lowest rank: A*, A, B, or C

Source

https://abdc.edu.au/abdc-journal-quality-list/

Examples

library(dplyr)
abdc |>
  filter(field_of_research == "0104") |>
  arrange(rank)

---

Obtain citations based on DOIs using CrossRef data

Description

Return CrossRef citation information for items in data frame of publications using DOIs.

Usage

citations(doi)

Arguments

doi	Unquoted column containing DOIs

Value

A vector of citation counts from CrossRef OpenURL

Author(s)

Rob J Hyndman

Examples

## Not run: 
njtpubs |>
  mutate(cr_cites = citations(doi))

## End(Not run)

---

CORE (Computing Research and Education) lists of conference and journal rankings

Description

Two datasets are provided: core and core_journals, which contains lists of conference and journal rankings respectively, according to the CORE executive committee. These are used in rank_core(). The details of the CORE organisation, and its procedure for ranking is provided below.

Usage

core

core_journals

Format

An object of class tbl_df (inherits from tbl, data.frame) with 982 rows and 2 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 639 rows and 4 columns.

Details

CORE is an association of university departments of computer science in Australia and New Zealand. Prior to 2004 it was known as the Computer Science Association, CSA.

The CORE Conference Ranking provides assessments of major conferences in the computing disciplines. The rankings are managed by the CORE Executive Committee, with periodic rounds for submission of requests for addition or reranking of conferences. Decisions are made by academic committees based on objective data requested as part of the submission process. Conference rankings are determined by a mix of indicators, including citation rates, paper submission and acceptance rates, and the visibility and research track record of the key people hosting the conference and managing its technical program. A more detailed statement categorizing the ranks A*, A, B, and C can be found here.

Format of core: A data frame with NROW(core) observations and two variables:

⁠title:⁠

Title of the conference

⁠rank:⁠

Conferences are assigned to one of the following categories:

• A*: flagship conference, a leading venue in a discipline area

• A: excellent conference, and highly respected in a discipline area

• B: good conference, and well regarded in a discipline area

• C: other ranked conference venues that meet minimum standards

Format of core_journals: A data frame with NROW(core_journals) observations and five variables:

⁠title:⁠

Title of the journal

field_of_research:

Field of Research Code as provided by the Australian Bureau of Statistics

issn:

International Standard Serial Number

rank:

In order of best to lowest rank: A*, A, B, or C

Source

https://www.core.edu.au/conference-portal

Examples

core
core_journals

---

ERA2010 Journal List

Description

This is a dataset that contains the list of journal rankings from the ARC Excellence in Research for Australia 2010 round.

Usage

data(era2010)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 20712 rows and 5 columns.

Details

Format: a data frame with NROW(era2010) rows and the following 4 variables:

eraid:

ERA ID of the journal

title:

Title of the journal

issn:

International Standard Serial Number

field_of_research:

Field of Research Code as provided by the Australian Bureau of Statistics

rank:

In order of best to lowest rank: A*, A, B, or C

Source

https://www.righttoknow.org.au/request/journal_list_relating_to_the_201

Examples

library(dplyr)
era2010 |>
  filter(field_of_research == "0104") |>
  arrange(rank)

---

Find Altmetrics

Description

Get a tibble of all altmetrics given a list of DOIs

Usage

get_altmetrics(data, doi)

Arguments

data	A data frame or tibble containing a bibliography.
doi	The column containing DOI values

Value

A tibble of altmetrics

Examples

## Not run: 
njtpubs |>
  get_altmetrics(doi)

## End(Not run)

---

Monash Business School Journal Quality List

Description

This is a dataset that contains the list of quality journal rankings from the Monash Business School. In most cases, it follows ABDC with A* equal to Group 1 and A equal to Group 2. The "Group 1+" category contains a small set of the highest rank journals.

Usage

data(monash)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 4616 rows and 2 columns.

Details

Format: a data frame with NROW(monash) observations on the following 2 variables:

title:

Title of the journal

rank:

In order of best to lowest rank: Group 1+, Group 1, Group 2

Source

Monash Business School

Examples

library(dplyr)
library(stringr)
monash |>
  filter(str_detect(title, "Statist")) |>
  arrange(rank)

---

Publications of Nick Tierney

Description

This is a dataset that contains the publications of Nick Tierney available on ORCID at 20 February 2020.

Usage

data(njtpubs)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 9 rows and 8 columns.

Details

A data frame with the following variables

journal:

Title of the journal

title:

Title of the paper

year:

Year of publication

volume:

Volume of the journal

issue:

Issue of the journal

pages:

Page numbers

type:

Type of publications

doi:

Digital Object Identifier

Source

https://orcid.org/0000-0003-1460-8722

Examples

njtpubs

---

Find rankings of journals from the ABDC, ERA2010, CORE, SCImago or Monash lists.

Description

Fuzzy matching is used to find the requested journal from the ABDC, ERA2010, CORE, SCImago or Monash lists. For more information on each of these, see:

abdc:

for more information on the ABDC list

era2010:

for more information on the ERA2010 list

core:

for more information on the CORE list

scimago:

for more information on the SCImago list

monash:

for more information on the Monash list

Usage

rank_abdc(title, fuzzy = TRUE, warning = FALSE)

rank_era2010(title, fuzzy = TRUE, warning = FALSE)

rank_scimago(title, fuzzy = TRUE, warning = FALSE)

rank_core(title, fuzzy = TRUE, warning = FALSE)

rank_monash(title, fuzzy = TRUE, warning = FALSE)

journal_ranking(
  title,
  source = c("all", "abdc", "era2010", "core", "scimago", "monash"),
  fuzzy = TRUE,
  only_best = FALSE,
  return_dist = FALSE,
  ...
)

Arguments

title	A character vector containing (partial) journal names.
fuzzy	Should fuzzy matching be used. If FALSE, partial exact matching is used. Otherwise, full fuzzy matching is used.
warning	A logical value indicating whether to return warnings when title contains missing values.
source	A character string indicating which ranking data base to use. Default "all".
only_best	A logical variable. If TRUE, only returns the best match found.
return_dist	A logical variable. If TRUE, returns the distance between the title and the matches found.
...	Other arguments are passed to agrepl (if fuzzy is TRUE), or grepl otherwise.

Value

The rank_xxx() functions return a character vector of the same length as title containing the rankings from the specified source database. The journal_ranking() function returns a tibble containing the matching journal titles and associated rankings from the specified database.

Author(s)

Rob J Hyndman

Examples

# Return ranking for individual journals or conferences
rank_abdc("Annals of Statistics")
rank_era2010("Biometrika")
rank_core("International Conference on Machine Learning")
rank_scimago("International Journal of Forecasting")
rank_monash("Annals")

# Add rankings to a data frame of publications
library(dplyr)
njtpubs |>
  mutate(scimago = rank_scimago(journal, warning = FALSE))

# Return rankings from all sources for journals that match a search string
journal_ranking("Forecasting")

---

Read bibliographies

Description

Create tables of publications from bib files, or from PubMed, Orcid or Google Scholar

Usage

read_bib(filename)

read_pubmed(query)

read_scholar(id)

read_orcid(id)

Arguments

filename	The filename of a bib file (i.e., in BibTeX format)
query	A character string containing a search query to pass to PubMed
id	A character string specifying the Google Scholar ID or Orcid ID

Value

A tibble containing one row per publication. Columns include title, authors, year, journal, etc.

Author(s)

Rob J Hyndman

Examples

## Not run: 

mypubs <- read_bib("mypubs.bib")
mypubs <- read_pubmed("Huang Ly Tong")
mypubs <- read_scholar("EUdX6oIAAAAJ")
mypubs <- read_orcid("0000-0002-8462-0105")

## End(Not run)

---

SCImago Journal Rank for all journals indexed by Scopus

Description

This data was taken from https://www.scimagojr.com/journalrank.php

Usage

data(scimago)

Format

A tibble with NROW(scimagojr) rows and NCOL(scimagojr) variables:

year

Year of SCImago Journal Ranking calculation.

rank

Rank of the journal among all journals.

sourceid

Database ID of the journal.

title

Jounal's title.

type

Type: "journal", "book series", "trade journal", or "conference and proceedings"

issn

ISSN journal identifier.

sjr

SCImago Journal Rank indicator. It expresses the average number of weighted citations received in the selected year by the documents published in the selected journal in the three previous years, –i.e. weighted citations received in year X to documents published in the journal in years X-1, X-2 and X-3. See detailed description of SJR (PDF).

sjr_best_quartile

Highest quartile of the journal among all categories it belongs to.

h_index

Hirsch index of the journal. The h index expresses the journal's number of articles (h) that have received at least h citations. It quantifies both journal scientific productivity and scientific impact and it is also applicable to scientists, countries, etc. (see H-index wikipedia definition).

total_docs_year

Total number of published documents within a specific year. All types of documents are considered, including citable and non citable documents.

total_docs_3years

Published documents in the three previous years (selected year documents are excluded), i.e.when the year X is selected, then X-1, X-2 and X-3 published documents are retrieved. All types of documents are considered, including citable and non citable documents.

total_refs

Total number of citations received by a journal to the documents published within a specific year.

total_cites_3years

Number of citations received in the seleted year by a journal to the documents published in the three previous years, –i.e. citations received in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered.

citable_docs_3years

Number of citable documents published by a journal in the three previous years (selected year documents are excluded). Exclusively articles, reviews and conference papers are considered..

cites_doc_2years

Average citations per document in a 2 year period. It is computed considering the number of citations received by a journal in the current year to the documents published in the two previous years, –i.e. citations received in year X to documents published in years X-1 and X-2. Comparable to Journal Impact Factor.

ref_doc

Average number of references per document in the selected year..

country

Country of the publisher.

publisher

Publisher of the journal.

categories

Categories the jounal belongs to.

highest_category

Category in which the journal ranks highest by percentile.

highest_rank

Rank of journal in highest_category.

highest_percentile

Highest percentile of journal in any category.

Author(s)

Rob Hyndman

Source

SCImago, (n.d.). SJR — SCImago Journal & Country Rank. Retrieved 2021-11-28, from https://www.scimagojr.com/journalrank.php

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