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Twitter Demographics
Mendeley readers
| Title |
Artificial Intelligence in Pharmaceutical Sciences
|
|---|---|
| Published in |
Engineering, April 2023
|
| DOI | 10.1016/j.eng.2023.01.014 |
| Authors |
Mingkun Lu, Jiayi Yin, Qi Zhu, Gaole Lin, Minjie Mou, Fuyao Liu, Ziqi Pan, Nanxin You, Xichen Lian, Fengcheng Li, Hongning Zhang, Lingyan Zheng, Wei Zhang, Hanyu Zhang, Zihao Shen, Zhen Gu, Honglin Li, Feng Zhu |
Twitter Demographics
The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 1 | 9% |
| United Kingdom | 1 | 9% |
| Mexico | 1 | 9% |
| United States | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 15 | 31% |
| Researcher | 7 | 14% |
| Student > Ph. D. Student | 5 | 10% |
| Other | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 16 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 14% |
| Agricultural and Biological Sciences | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 14 | 29% |