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X Demographics
Mendeley readers
| Title |
A versatile transposon-based technology to generate loss- and gain-of-function phenotypes in the mouse liver
|
|---|---|
| Published by |
Springer Nature, April 2022
|
| DOI | 10.1186/s12915-022-01262-x |
| Pubmed ID | |
| Authors |
Anna Georgina Kopasz, Dávid Zsolt Pusztai, Réka Karkas, Liza Hudoba, Khaldoon Sadiq Ahmed Abdullah, Gergely Imre, Gabriella Pankotai-Bodó, Ede Migh, Andrea Nagy, András Kriston, Péter Germán, Andrea Bakné Drubi, Anna Molnár, Ildikó Fekete, Virág Éva Dani, Imre Ocsovszki, László Géza Puskás, Péter Horváth, Farkas Sükösd, Lajos Mátés |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 11% |
| Lecturer > Senior Lecturer | 1 | 11% |
| Unknown | 7 | 78% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Computer Science | 1 | 11% |
| Unknown | 6 | 67% |