Automated Author ProfileARVISENET, Gaelle
GSGA, AgroSupDijon
ARVISENET, Gaelle
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: 1.1 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- ARVISENET, Gaelle ;
- MAGRINI, Marie-Benoit ;
- LEISER, Hugues ;
- CABANAC, Guillaume
No description available
Authors
- ARVISENET, Gaelle ;
- MAGRINI, Marie-Benoit ;
- LEISER, Hugues ;
- CABANAC, Guillaume
The text file corresponds to the search query capturing the main research theme on consumer acceptance of grain-legumes (both soya and pulses, see Species Grain-Legumes WoS dataset) to be applied on the WoS (Web of Knowledge). This search query is restricted to the main types of scientific literature documents, namely the types: article, book, book chapter, and review. This translated into the query DT = ("Article" OR "Book" OR "Book Chapter" OR "Review"); the time range selected is 1980-2018 (PY = "1980-2018"). Acceptability theme refers here only to sensorial and organoleptic analysis for consumer acceptance. UT file corresponds to the results of this search query (UT refers to a WoS unique identifier for each record retrieved) after a post-processing step which eliminated the records captured by the Wos KeyWord Plus : ie, the UT file correspond to records containing terms of the search query only in title, abstract, and (regular) keywords. See the related publication for more information.
Authors
- ARVISENET, Gaelle ;
- MAGRINI, Marie-Benoit ;
- LEISER, Hugues ;
- CABANAC, Guillaume