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X Demographics
Mendeley readers
| Title |
Stem cell-derived porcine macrophages as a new platform for studying host-pathogen interactions
|
|---|---|
| Published in |
BMC Biology, January 2022
|
| DOI | 10.1186/s12915-021-01217-8 |
| Pubmed ID | |
| Authors |
Stephen Meek, Tom Watson, Lel Eory, Gus McFarlane, Felicity J. Wynne, Stephen McCleary, Laura E. M. Dunn, Emily M. Charlton, Chloe Craig, Barbara Shih, Tim Regan, Ryan Taylor, Linda Sutherland, Anton Gossner, Cosmin Chintoan-Uta, Sarah Fletcher, Philippa M. Beard, Musa A. Hassan, Finn Grey, Jayne C. Hope, Mark P. Stevens, Monika Nowak-Imialek, Heiner Niemann, Pablo J. Ross, Christine Tait-Burkard, Sarah M. Brown, Lucas Lefevre, Gerard Thomson, Barry W. McColl, Alistair B. Lawrence, Alan L. Archibald, Falko Steinbach, Helen R. Crooke, Xuefei Gao, Pentao Liu, Tom Burdon |
X Demographics
The data shown below were collected from the profiles of 19 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 Kingdom | 6 | 32% |
| Canada | 1 | 5% |
| Ireland | 1 | 5% |
| Unknown | 11 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 47% |
| Scientists | 9 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Bachelor | 2 | 6% |
| Other | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 19 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Veterinary Science and Veterinary Medicine | 2 | 6% |
| Computer Science | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 21 | 62% |