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Twitter Demographics
Mendeley readers
Title |
Why Is All COVID-19 News Bad News?
|
---|---|
Published by |
National Bureau of Economic Research, November 2020
|
DOI | 10.3386/w28110 |
Authors |
Sacerdote, Bruce, Sehgal, Ranjan, Cook, Molly |
Twitter Demographics
The data shown below were collected from the profiles of 4,372 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1899 | 43% |
Canada | 63 | 1% |
United Kingdom | 53 | 1% |
Comoros | 16 | <1% |
Georgia | 11 | <1% |
Italy | 10 | <1% |
Australia | 10 | <1% |
Japan | 9 | <1% |
France | 8 | <1% |
Other | 138 | 3% |
Unknown | 2155 | 49% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4046 | 93% |
Scientists | 131 | 3% |
Science communicators (journalists, bloggers, editors) | 124 | 3% |
Practitioners (doctors, other healthcare professionals) | 71 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 24% |
Student > Doctoral Student | 5 | 17% |
Student > Master | 3 | 10% |
Student > Bachelor | 2 | 7% |
Professor | 2 | 7% |
Other | 4 | 14% |
Unknown | 6 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 6 | 21% |
Economics, Econometrics and Finance | 5 | 17% |
Business, Management and Accounting | 3 | 10% |
Medicine and Dentistry | 3 | 10% |
Computer Science | 2 | 7% |
Other | 3 | 10% |
Unknown | 7 | 24% |