Automated Author ProfileAlberto Díaz-Rodríguez, Jorge
Alberto Díaz-Rodríguez, Jorge
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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains information on 3,458 newborns identified as suspected cases through the neonatal screening program at Hospital de la Mujer in Culiacán, Sinaloa, Mexico, between January 1, 2012, and December 31, 2023. It includes both demographic and clinical data related to mothers and newborns.Maternal information comprises age, number of births, geographic location, and gestational age.
Newborn data includes date of birth, sex, birth weight, and birth length.
Newborn screening information covers the date of blood sample collection, suspected congenital disorders, and confirmatory test results for the six conditions screened.
Congenital Disorders: congenital hypothyroidism (CH), congenital adrenal hyperplasia (CAH), galactosemia (GALA), phenylketonuria (PKU), cystic fibrosis (CF), and glucose-6-phosphate dehydrogenase deficiency (G6PDd).
The authors kindly ask that proper credit be given in future uses or publications that utilize this dataset.
Authors
- Arámburo-Gálvez, Jesús Gilberto ;
- Figueroa Salcido, Oscar Gerardo ;
- Ontiveros, Noé ;
- Alberto Díaz-Rodríguez, Jorge
This dataset contains information on 3,458 newborns identified as suspected cases through the neonatal screening program at Hospital de la Mujer in Culiacán, Sinaloa, Mexico, between January 1, 2012, and December 31, 2023. It includes both demographic and clinical data related to mothers and newborns.Maternal information comprises age, number of births, geographic location, and gestational age.
Newborn data includes date of birth, sex, birth weight, and birth length.
Newborn screening information covers the date of blood sample collection, suspected congenital disorders, and confirmatory test results for the six conditions screened.
Congenital Disorders: congenital hypothyroidism (CH), congenital adrenal hyperplasia (CAH), galactosemia (GALA), phenylketonuria (PKU), cystic fibrosis (CF), and glucose-6-phosphate dehydrogenase deficiency (G6PDd).
The authors kindly ask that proper credit be given in future uses or publications that utilize this dataset.
Authors
- Arámburo-Gálvez, Jesús Gilberto ;
- Figueroa Salcido, Oscar Gerardo ;
- Ontiveros, Noé ;
- Alberto Díaz-Rodríguez, Jorge