| inv_perc_beamplot {BibPlots} | R Documentation |
Create a beamplot using inverted percentile values
Description
Create a beamplot using inverted percentile values.
Usage
inv_perc_beamplot(rd, au_name = "Example Researcher", ...)
Arguments
rd |
is a dataframe with two columns: (i) publication year and (ii) inverted percentile value with one row per paper/dataset. |
au_name |
is the name of the researcher this beamplot belongs to. |
... |
further parameters passed to stripchart. |
Details
inv_perc_beamplot(rd, au_name='Name of researcher') Only the rd is argument mandatory. It has to be a dataframe with two columns: (i) publication year and (ii) inverted percentile value with one row per paper/dataset.
Literature:
- Haunschild, R., Bornmann, L., & Adams, J. (2019). R package for producing beamplots as a preferred alternative to the h index when assessing single researchers (based on downloads from Web of Science), Scientometrics, DOI 10.1007/s11192-019-03147-3, preprint: https://arxiv.org/abs/1905.09095 - Bornmann, L. & Marx, W. (2014a). Distributions instead of single numbers: percentiles and beam plots for the assessment of single researchers. Journal of the American Society of Information Science and Technology, 65(1), 206–208 - Bornmann, L. & Marx, W. (2014b). How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations. Scientometrics, 98(1), 487-509. DOI: 10.1007/s11192-013-1161-y. - Bornmann, L., & Haunschild, R. (2018). Plots for visualizing paper impact and journal impact of single researchers in a single graph. Scientometrics, 115(1), 385-394. DOI: 10.1007/s11192-018-2658-1.
Examples
## Not run: inv_perc_beamplot(rd, au_name='Name of researcher')