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Twitter Demographics
Mendeley readers
Title |
Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysis
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Published in |
Archives of Industrial Hygiene and Toxicology, July 2022
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DOI | 10.2478/aiht-2022-73-3631 |
Pubmed ID | |
Authors |
Danijela Đukić-Ćosić, Katarina Baralić, Teodora Filipović, Dragica Božić, Katarina Živančević, Evica Antonijević Miljaković, Aleksandra Buha Đorđević, Zorica Bulat, Biljana Antonijević, Marijana Ćurčić |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 29% |
Unspecified | 1 | 7% |
Student > Bachelor | 1 | 7% |
Other | 1 | 7% |
Professor | 1 | 7% |
Other | 1 | 7% |
Unknown | 5 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 29% |
Veterinary Science and Veterinary Medicine | 1 | 7% |
Environmental Science | 1 | 7% |
Unspecified | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Other | 1 | 7% |
Unknown | 5 | 36% |