Automated Organization ProfileGroupe d'Étude des Méthodes de l'Analyse Sociologique de la Sorbonne
Groupe d'Étude des Méthodes de l'Analyse Sociologique de la Sorbonne
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 2.9 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data obtained through telegram API on the Italian "Put Down the Covid mask" group. Data have been anonymized for privacy. The group itself no longer exists, after it was shut down by the administrator himself. Variables present:Interaction_IDAcc_IDTextTimeReactionReply Accout used for deradicalisation are:297039477475318812476878
Authors
- Russo, Andrea
Data obtained through telegram API on the Italian "Put Down the Covid mask" group. Data have been anonymized for privacy. The group itself no longer exists, after it was shut down by the administrator himself. Variables present:Interaction_IDAcc_IDTextTimeReactionReply Accout used for deradicalisation are:297039477475318812476878
Authors
- Russo, Andrea
The data used to compute the NOAI (Normalized Open Access Indicator) consist of several components, including publication counts, shares of publications in OA, and weighted shares. These data enable the recalculation of the index, ensuring reproducibility and validation of the results.
Authors
- Maddi, Abdelghani
The data used to compute the NOAI (Normalized Open Access Indicator) consist of several components, including publication counts, shares of publications in OA, and weighted shares. These data enable the recalculation of the index, ensuring reproducibility and validation of the results.
Authors
- Maddi, Abdelghani
We provide an archive including all the data that are neccessary to execute the codes available on the following Github repository: https://github.com/sysyMC/AI_in_Neuroscience_EpistemicIntegration_SocialSegregation.All these data and codes were used to perform the analysis provided in our paper:Fontaine, S., Gargiulo, F., Dubois, M., Tubaro, P. (2024). Epistemic integration and social segregation of AI in neuroscience. Applied Network Science, 9(8). Available at: https://doi.org/10.1007/s41109-024-00618-2.These data mainly require the MAG datadump (Version 2020-05-29) provided by Färber (2019).The file README.pdf details the content of the associated files.
Authors
- Fontaine, Sylvain ;
- Gargiulo, Floriana ;
- Dubois, Michel ;
- Tubaro, Paola
We provide an archive including all the data that are neccessary to execute the codes available on the following Github repository: https://github.com/sysyMC/AI_in_Neuroscience_EpistemicIntegration_SocialSegregation.All these data and codes were used to perform the analysis provided in our paper:Fontaine, S., Gargiulo, F., Dubois, M., Tubaro, P. (2024). Epistemic integration and social segregation of AI in neuroscience. Applied Network Science, 9(8). Available at: https://doi.org/10.1007/s41109-024-00618-2.These data mainly require the MAG datadump (Version 2020-05-29) provided by Färber (2019).The file README.pdf details the content of the associated files.
Authors
- Fontaine, Sylvain ;
- Gargiulo, Floriana ;
- Dubois, Michel ;
- Tubaro, Paola