Automated Author ProfileWoldegiorgis, Ashagrie
Addis Ababa University College of Natural Sciences
Woldegiorgis, Ashagrie
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: 3.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The study is summarized that the impact of clean milk production training on knowledge, attitudes and practices of women dairy farmers in the central highlands of Ethiopia. The study indicated that women dairy farmers improved their knowledge, attitude, and practices relating to quality milk production. However, milk shade assessments of individual farmers identified many important risk factors for clean milk production that were due to infrastructure issues. The effectiveness of the training materials and approach was supported by the increase in KAP assessment scores from pre-training to post-training for all study sites. Comparisons of the training outcomes and evaluation results of milk shades were found counterintuitive, which revealed the complexity of food safety interventions. Customized food safety training is effective but should be combined with dairy farming infrastructure improvements to achieve the goal of clean milk production at farm level.
Authors
- Keba, Abdi ;
- Tola, Alganesh ;
- Kaylegian, Kerry E. ;
- Kebede, Muluken ;
- Woldegiorgis, Ashagrie
The study is summarized that the impact of clean milk production training on knowledge, attitudes and practices of women dairy farmers in the central highlands of Ethiopia. The study indicated that women dairy farmers improved their knowledge, attitude, and practices relating to quality milk production. However, milk shade assessments of individual farmers identified many important risk factors for clean milk production that were due to infrastructure issues. The effectiveness of the training materials and approach was supported by the increase in KAP assessment scores from pre-training to post-training for all study sites. Comparisons of the training outcomes and evaluation results of milk shades were found counterintuitive, which revealed the complexity of food safety interventions. Customized food safety training is effective but should be combined with dairy farming infrastructure improvements to achieve the goal of clean milk production at farm level.
Authors
- Keba, Abdi ;
- Tola, Alganesh ;
- Kaylegian, Kerry E. ;
- Kebede, Muluken ;
- Woldegiorgis, Ashagrie