Automated Author ProfileWhatmore, Adrian
Whatmore, Adrian
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: 1.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
There are 2 datasets in this collection: 1 - individual level data: “SciRep_Brucella_IndividualLevelData_DATE.csv" contains individual level data for individuals included in the study. Metadata includes: arbitrary unique individual ID, Brucella blood culture results, Brucella SAT test results, individual classifiers for probable and confirmed case definitions presented in the study, demographic, reported symptom and risk factor variables extracted from the questionnaire performed for the study (variable names prefixed ”Q_”), clinical diagnosis and treatment variables (variable names prefixed ”C_”) Dates are removed from the dataset to prevent any potential identifiability of study participants 2 - culture level data: “SciRep_Brucella_CultureLevelData_DATE.csv" contains culture bottle level data for individuals included in the study. Metadata includes: arbitrary unique individual ID and ID for all Brucella culture positive individuals corresponding to figure in article. Blood culture data indicating the bottle type for each culture (“CultureBottle”), Brucella result and validity for for every bottle (“Brucella_Result_Validity), name of any bacteria isolated (“BacteriaName”), indicators for bacteria identified as likely contaminants (“Contaminant”) and for bottle volume adequacy(“VolumeAdequacy") Dates and times are removed from the dataset to prevent any potential identifiability of study participants
Authors
- Bodenham, Rebecca ;
- Lukambagire, Abdulhamid ;
- Ashford, Roland ;
- Buza, Joram ;
- Cash-Goldwasser, Shama ;
- Crump, John ;
- Kazwala, Rudovick ;
- Maro, Venance ;
- McGiven, John ;
- Mkenda, Nestory ;
- Mmbaga, Blandina ;
- Rubach, Matthew ;
- Sakasaka, Philoteus ;
- Shrirma, Gabriel ;
- Swai, Emanuel ;
- Thomas, Kate ;
- Whatmore, Adrian ;
- Haydon, Daniel ;
- Halliday, Jo