Automated Author ProfileWiddig, Anja
Widdig, Anja
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: 15.0 (sum of 11 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Uploaded are 3 datasets used for the analyses presented in the article 'Higher early life mortality with lower infant body mass in a free-ranging primate'.
The data was collected from in a population of free-ranging rhesus macaques on Cayo Santiago.
All 3 datasets contain information on: 'mab' = maternal age at birth (years; standardized); 'wt' = infant body mass measured prior to weaning (standardized within age-sex category; see the paper for specific method); 'rank' = maternal rank (low/middle/high as 0/1/2); 'fchild' = whether a child was a first-born offspring (1) or not (0); 'centbd' = birth date centered at the peak birth date of a birth season; 'bs' = birth season number; 'newid' = maternal ID.
1) weight_time_to_death.csvThe data contains 2 additional variables: 'ttd' = time to death (days), assessed up to the first 4 years of life; 'ttd_observed' = whether the time to death was censored or not.
2) weight_birthskipping.csvThe data contains 1 additional variable: 'skipped' = whether a mother failed (1) or not (0) to reproduce again in the consequent year. 3) weight_lastsuckle.csvThe data contains 1 additional variable: 'lastsuck' = postpartum week at which the offspring was observed to suckle for the last time (see the paper for detailed method for assessing the last week of suckling). Note that this dataset does not contain information on maternal ID and birth season, because there is no repeated observation within each categories.
Authors
- Lee, D. Susie ;
- Mandalaywala, Tara M. ;
- Dubuc, Constance ;
- Widdig, Anja ;
- Higham, James P.
No description available
Authors
- Weiß, Brigitte ;
- Marcillo, Andrea ;
- Manser, Marta ;
- Holland, Ruben ;
- Birkemeyer, Claudia ;
- Widdig, Anja
No description available
Authors
- Langos, Doreen ;
- Kulik, Lars ;
- Ruiz-Lambides, Angelina ;
- Widdig, Anja
No description available
Authors
- Langos, Doreen ;
- Kulik, Lars ;
- Mundry, Roger ;
- Widdig, Anja
No description available
Authors
- Kazem, Anahita J. N. ;
- Widdig, Anja
No description available
Authors
- Langos, Doreen ;
- Kulik, Lars ;
- Mundry, Roger ;
- Widdig, Anja
No description available
Authors
- Kulik, Lars ;
- Muniz, Laura ;
- Mundry, Roger ;
- Widdig, Anja
No description available
Authors
- Kulik, Lars ;
- Muniz, Laura ;
- Mundry, Roger ;
- Widdig, Anja
No description available
Authors
- Kulik, Lars ;
- Muniz, Laura ;
- Mundry, Roger ;
- Widdig, Anja