Data_public.xlsx (78.43 kB)
Aggregate data for the forthcoming PLOS ONE article "Beyond funding: Acknowledgement patterns in biomedical, natural and social sciences"
Version 3 2017-09-21, 18:51
Version 2 2017-09-19, 21:43
Version 1 2017-09-19, 16:07
dataset
posted on 2017-09-19, 21:43 authored by Adèle Paul-HusAdèle Paul-Hus, Adrián A. Díaz-Faes, Maxime Sainte-MarieMaxime Sainte-Marie, Nadine Desrochers, Rodrigo Costas, Vincent LarivièreAggregate data for the PLOS ONE article "Beyond funding: Acknowledgement patterns in biomedical, natural and social sciences."
Table 1. Explained and cumulative variance for each axis
Table 2. Relative contributions of the factor to the element for disciplines (expressed as a percentage)
Table 3. Number of papers indexed in WoS (all and with funding acknowledgements) and percentage of papers with funding acknowledgements, by discipline (2015)
For the purposes of the analysis presented in Fig 1 and 2, the dataset was partitioned by discipline and a Correspondence Analysis was applied to these subsets and using a MATLAB program.
Fig 1. Bidimensional Correspondence Analysis for acknowledgements patterns by discipline (plane 1-2)
Fig 2. Bidimensional Correspondence Analysis for acknowledgements patterns by discipline (plane 3-4).
Supporting Information:
S1 Fig. Frequency distribution of noun phrases found in acknowledgements
S1 Table. Frequency of the 214 most frequent noun phrases, by discipline
S2 Table. Quality of representation of the rows (cumulative contribution for each NP)
S3 Table. Quality of representation of the columns (cumulative contribution for each discipline)
