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X Demographics
Mendeley readers
| Title |
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study
|
|---|---|
| Published in |
The Lancet Digital Health, January 2023
|
| DOI | 10.1016/s2589-7500(22)00213-8 |
| Pubmed ID | |
| Authors |
Josue Barnes, Matthew Brendel, Vianne R Gao, Suraj Rajendran, Junbum Kim, Qianzi Li, Jonas E Malmsten, Jose T Sierra, Pantelis Zisimopoulos, Alexandros Sigaras, Pegah Khosravi, Marcos Meseguer, Qiansheng Zhan, Zev Rosenwaks, Olivier Elemento, Nikica Zaninovic, Iman Hajirasouliha |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 35% |
| United Kingdom | 2 | 9% |
| Indonesia | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 11 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 57% |
| Scientists | 5 | 22% |
| Practitioners (doctors, other healthcare professionals) | 3 | 13% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 20 | 20% |
| Student > Ph. D. Student | 13 | 13% |
| Researcher | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 38 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 20 | 20% |
| Medicine and Dentistry | 12 | 12% |
| Engineering | 8 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Computer Science | 4 | 4% |
| Other | 13 | 13% |
| Unknown | 41 | 40% |