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| Title |
Measuring the Influence of Commercial Entities in the Twitter backchannels of medical conferences: The #MICEproject
|
|---|---|
| Published in |
The Winnower, July 2015
|
| DOI | 10.15200/winn.143688.88406 |
| Authors |
Tejas Desai (@nephondemand), Vibhu Dhingra (@doc_dhingra), Afreen Shariff (@ashartwit), Aabid Shariff (@aabidshariff), Edgar Lerma (@edgarvlermamd), Parteek Singla, Swapnil Kachare, Zoheb Syed, Deeba Minhas, Ryan Madanick (@RyanMadanickMD), Xiangming Fang (@Xiangming_Fang) |
Twitter Demographics
The data shown below were collected from the profiles of 109 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 | 25 | 23% |
| United Kingdom | 12 | 11% |
| Canada | 10 | 9% |
| Australia | 6 | 6% |
| Spain | 5 | 5% |
| Germany | 3 | 3% |
| Brazil | 2 | 2% |
| Bosnia and Herzegovina | 1 | <1% |
| Dominican Republic | 1 | <1% |
| Other | 10 | 9% |
| Unknown | 34 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 66 | 61% |
| Practitioners (doctors, other healthcare professionals) | 18 | 17% |
| Scientists | 17 | 16% |
| Science communicators (journalists, bloggers, editors) | 8 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 40% |
| Student > Ph. D. Student | 1 | 20% |
| Lecturer | 1 | 20% |
| Other | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 40% |
| Mathematics | 1 | 20% |
| Agricultural and Biological Sciences | 1 | 20% |
| Computer Science | 1 | 20% |