Automated Author ProfileFarthing, Anthony
Farthing, Anthony
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: 1.0 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Simple text (.txt) files in a compressed folder. Contains complete transcripts of fifteen semi-structured interviews conducted during November and December 2014 with participants involved in various aspects of the process of health-related comics production.
Written consent was obtained from all participants to identify them and to publish and openly share the data. No patient nor sensitive personal information is disclosed.
Parts of this data have been published in Farthing, A. & Priego, E., (2016). ‘Graphic Medicine’ as a Mental Health Information Resource: Insights from Comics Producers. The Comics Grid. 6(0), p.3. DOI: http://doi.org/10.16995/cg.74
Authors
- Priego, Ernesto ;
- Farthing, Anthony
Simple text (.txt) files in a compressed folder. Contains complete transcripts of fifteen semi-structured interviews conducted during November and December 2014 with participants involved in various aspects of the process of health-related comics production.
Written consent was obtained from all participants to identify them and to publish and openly share the data. No patient nor sensitive personal information is disclosed.
Also deposited as "Data from ‘Graphic Medicine’ as a Mental Health Information Resource: Insights from Comics Producers", doi:10.7910/DVN/IXSLYH, Harvard Dataverse, V1
This dataset was described in the following data paper:
Farthing, A. & Priego, E., (2016). Data from ‘Graphic Medicine’ as a Mental Health Information Resource: Insights from Comics Producers. Open Health Data. 4(1), p.e3. DOI: http://doi.org/10.5334/ohd.25
Parts of this data were analysed in Farthing, A. & Priego, E., (2016). ‘Graphic Medicine’ as a Mental Health Information Resource: Insights from Comics Producers. The Comics Grid. 6(0), p.3. DOI: http://doi.org/10.16995/cg.74
Authors
- Priego, Ernesto ;
- Farthing, Anthony
Simple text (.txt) files in a compressed folder. Contains complete transcripts of fifteen semi-structured interviews conducted during November and December 2014 with participants involved in various aspects of the process of health-related comics production.
Written consent was obtained from all participants to identify them and to publish and openly share the data. No patient nor sensitive personal information is disclosed.
Also deposited as "Data from ‘Graphic Medicine’ as a Mental Health Information Resource: Insights from Comics Producers", doi:10.7910/DVN/IXSLYH, Harvard Dataverse, V1
This dataset was described in the following data paper:
Farthing, A. & Priego, E., (2016). Data from ‘Graphic Medicine’ as a Mental Health Information Resource: Insights from Comics Producers. Open Health Data. 4(1), p.e3. DOI: http://doi.org/10.5334/ohd.25
Parts of this data were analysed in Farthing, A. & Priego, E., (2016). ‘Graphic Medicine’ as a Mental Health Information Resource: Insights from Comics Producers. The Comics Grid. 6(0), p.3. DOI: http://doi.org/10.16995/cg.74
Authors
- Priego, Ernesto ;
- Farthing, Anthony