Automated Author ProfileLiu, Xiaohui
Jiangxi University of Finance and Economics
Liu, Xiaohui
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.5 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 1 1. Variables description Age: age of the confirmed case InDate: infection date OutDate: onset date InPeriod: incubation Period 2. Values of variables Age: the original age of the confirmed case InDate and OutDate: for convenience, the values of InDate and OutDate were represented as the number of days departing from December 31, 2019, on which WHO announced the disease COVID-19 have become a public health incident. For example, the date January 1, 2020 takes the value 1. Incubation Period: Onset date - Infection date + 1
Authors
- Liu, Xiaohui ;
- Wang, Lei ;
- Ma, Xiansi ;
- Wang, Jiewen ;
- Wu, Liwen
Additional file 1 1. Variables description Age: age of the confirmed case InDate: infection date OutDate: onset date InPeriod: incubation Period 2. Values of variables Age: the original age of the confirmed case InDate and OutDate: for convenience, the values of InDate and OutDate were represented as the number of days departing from December 31, 2019, on which WHO announced the disease COVID-19 have become a public health incident. For example, the date January 1, 2020 takes the value 1. Incubation Period: Onset date - Infection date + 1
Authors
- Liu, Xiaohui ;
- Wang, Lei ;
- Ma, Xiansi ;
- Wang, Jiewen ;
- Wu, Liwen
Additional file 2 1. Data file path To ensure that the program runs successfully, the data file “Additional file 1.xls” should be placed in the current working directory of R, which can be shown by running the code “getwd()” in R. An alternative way is adding the file path in Line 18 of the code. 2. R packages needed R packages including “readxl” “splines” “ggplot2” “quantreg” and “SparseM” should be successfully installed before running the program. All the packages can be installed by running “install.packages()”, such as “install.packages(“readxl”)” for package “readxl”.
Authors
- Liu, Xiaohui ;
- Wang, Lei ;
- Ma, Xiansi ;
- Wang, Jiewen ;
- Wu, Liwen
Additional file 2 1. Data file path To ensure that the program runs successfully, the data file “Additional file 1.xls” should be placed in the current working directory of R, which can be shown by running the code “getwd()” in R. An alternative way is adding the file path in Line 18 of the code. 2. R packages needed R packages including “readxl” “splines” “ggplot2” “quantreg” and “SparseM” should be successfully installed before running the program. All the packages can be installed by running “install.packages()”, such as “install.packages(“readxl”)” for package “readxl”.
Authors
- Liu, Xiaohui ;
- Wang, Lei ;
- Ma, Xiansi ;
- Wang, Jiewen ;
- Wu, Liwen