Automated Author ProfileLt. Col. Peter Chambers
Whistleblower (alleged)
Lt. Col. Peter Chambers
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: 3.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is a database and accompanying report first appearing on a google drive link shared by Attorney Thomas Renz of Renz Law with the Epoch Times as well as embedded into Thomas Renz' website.
According to DHA's Armed Forces Surveillance Division, the data in this database is incorrect for the years 2016-2020. (Watson, 2022) DMED is a web tool to query medical event data contained within the Defense Medical Surveillance System. The AFHSD claims that due to a serious error in their system, data between the years of 2016-2020 has been incredibly under-reported which has lead to the appearance of a significant increase of occurrences of medical diagnoses in 2021. (Watson 2022)
References: Renz, T. (2021, October 1). Attorney Tom Renz discovers leaked DOD covid files. Renz Law. Retrieved February 6, 2022, from https://renz-law.com/attorney-tom-renz-discovers-leaked-dod-covid-files/ Watson, S. (2022, February 6). Pentagon responds to DOD whistleblowers' claim of spiking disease rates in the military after Covid Vaccine Mandate. InfoWars. Retrieved February 6, 2022, from https://www.infowars.com/posts/pentagon-responds-to-dod-whistleblowers-claim-of-spiking-disease-rates-in-the-military-after-covid-vaccine-mandate/
Authors
- Renz, Thomas ;
- Dundas, Leigh ;
- Dr. Samuel Sigoloff ;
- Lt. Col. Peter Chambers ;
- Lt. Col. Theresa Long ;
- U.S. Department Of Defense
This is a database and accompanying report first appearing on a google drive link shared by Attorney Thomas Renz of Renz Law with the Epoch Times as well as embedded into Thomas Renz' website.
According to DHA's Armed Forces Surveillance Division, the data in this database is incorrect for the years 2016-2020. (Watson, 2022) DMED is a web tool to query medical event data contained within the Defense Medical Surveillance System. The AFHSD claims that due to a serious error in their system, data between the years of 2016-2020 has been incredibly under-reported which has lead to the appearance of a significant increase of occurrences of medical diagnoses in 2021. (Watson 2022)
References: Renz, T. (2021, October 1). Attorney Tom Renz discovers leaked DOD covid files. Renz Law. Retrieved February 6, 2022, from https://renz-law.com/attorney-tom-renz-discovers-leaked-dod-covid-files/ Watson, S. (2022, February 6). Pentagon responds to DOD whistleblowers' claim of spiking disease rates in the military after Covid Vaccine Mandate. InfoWars. Retrieved February 6, 2022, from https://www.infowars.com/posts/pentagon-responds-to-dod-whistleblowers-claim-of-spiking-disease-rates-in-the-military-after-covid-vaccine-mandate/
Authors
- Renz, Thomas ;
- Dundas, Leigh ;
- Dr. Samuel Sigoloff ;
- Lt. Col. Peter Chambers ;
- Lt. Col. Theresa Long ;
- U.S. Department Of Defense