Automated Author ProfileFAJARDO-BERMÚDEZ, Marcela
FAJARDO-BERMÚDEZ, Marcela
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: 1.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract This work is the result of one of the components of a macro investigation, which seeks to develop a Model to identify the degree of linkage of a university with its environment; in this case, it is applied to the University of Antioquia (Medellín-Colombia). This component refers to the visibility and impact of investigators from the perspective and data off ered by altmetrics. To that eff ect, the altmetrics data of 1,032 investigators from six areas of knowledge are reviewed, taking into account diff erent academic, professional and social platforms, as well as an integrating platform of altmetrics indicators. Although this measurement refers to University of Antioquia investigators, the general methodology for data capture and interpretation may be extended to other universities that share the same investigation and scientific communication, and that from the altmetrics wish to identify the visibility and impact of their investigators and the linking of the institution with its environment, and complement in this way, the traditional bibliometric measurements or other measurements of the university environment, such as the Manual of Valencia
Authors
- URIBE-TIRADO, Alejandro ;
- Jaider OCHOA-GUTIÉRREZ ;
- Kelis RUIZ-NUÑEZ ;
- FAJARDO-BERMÚDEZ, Marcela
Abstract This work is the result of one of the components of a macro investigation, which seeks to develop a Model to identify the degree of linkage of a university with its environment; in this case, it is applied to the University of Antioquia (Medellín-Colombia). This component refers to the visibility and impact of investigators from the perspective and data off ered by altmetrics. To that eff ect, the altmetrics data of 1,032 investigators from six areas of knowledge are reviewed, taking into account diff erent academic, professional and social platforms, as well as an integrating platform of altmetrics indicators. Although this measurement refers to University of Antioquia investigators, the general methodology for data capture and interpretation may be extended to other universities that share the same investigation and scientific communication, and that from the altmetrics wish to identify the visibility and impact of their investigators and the linking of the institution with its environment, and complement in this way, the traditional bibliometric measurements or other measurements of the university environment, such as the Manual of Valencia
Authors
- URIBE-TIRADO, Alejandro ;
- Jaider OCHOA-GUTIÉRREZ ;
- Kelis RUIZ-NUÑEZ ;
- FAJARDO-BERMÚDEZ, Marcela