citationmetricsdata
Science Score: 39.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.5%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: thiyangt
- License: other
- Language: R
- Default Branch: main
- Size: 247 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
Citation
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# CitationMetricsData
The goal of CitationMetricsData is to provide easy access to career-long and single-year citation data for top-cited scientists, based on the dataset 'August 2024 data-update for "Updated science-wide author databases of standardized citation indicators"' by Ioannidis, John P.A
## Installation
You can install the development version of CitationMetricsData from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("thiyangt/CitationMetricsData")
```
```{r}
library(CitationMetricsData)
```
## Career-long data are updated to end-of-2023
```{r}
head(career.long.data)
```
## Single recent year data pertain to citations received during calendar year 2023
```{r}
head(single.year.data)
```
# Data Visualisations
```{r, warning=FALSE, message=FALSE, echo=FALSE}
library(tidyverse)
library(countrycode)
career.long.data$country.name <- countrycode(career.long.data$cntry, origin = 'iso3c', destination = 'country.name')
top_20_cntry <- career.long.data %>%
count(country.name) %>%
arrange(desc(n)) %>%
head(20)
# Plot the bar chart
ggplot(top_20_cntry, aes(x = reorder(country.name, n), y = n)) +
geom_bar(stat = "identity", fill = "#1b9e77") +
coord_flip() + # Flip coordinates to make it horizontal
labs(title = "Top 20 Countries by Number of Top-Cited Researchers",
subtitle= "(Based on Career-long Data)",
x = "Country",
y = "Number of Researchers") +
theme_minimal()
```
```{r, echo=FALSE, warning=FALSE}
single.year.data$country.name <- countrycode(single.year.data$cntry, origin = 'iso3c', destination = 'country.name')
top_20_cntrys <- single.year.data |>
count(country.name) |>
arrange(desc(n)) |>
head(20)
# Plot the bar chart
ggplot(top_20_cntrys, aes(x = reorder(country.name, n), y = n)) +
geom_bar(stat = "identity", fill = "#d95f02") +
coord_flip() + # Flip coordinates to make it horizontal
labs(title = "Top 20 Countries by Number of Top-Cited Researchers ",
subtitle = "(Based on Single-year Data)",
x = "Country",
y = "Number of Researchers") +
theme_minimal()
```
## Data Source
Ioannidis, John P.A. (2024), August 2024 data-update for "Updated science-wide author databases of standardized citation indicators", Elsevier Data Repository, V7, doi: 10.17632/btchxktzyw.7
Link: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7
Owner
- Name: Thiyanga Talagala
- Login: thiyangt
- Kind: user
- Company: PhD, Monash University, Australia
- Website: http://thiyanga.netlify.com/
- Repositories: 21
- Profile: https://github.com/thiyangt
Time Series, Machine Learning Interpretability, Large-Scale Forecasting (twitter: thiyangt)
GitHub Events
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- Push event: 1
Last Year
- Push event: 1
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Last synced: over 1 year ago
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- Total pull requests: 0
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- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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Dependencies
DESCRIPTION
cran
- R >= 2.10 depends