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Mendeley readers
| Title |
Automated digital image quantification of histological staining for the analysis of the trilineage differentiation potential of mesenchymal stem cells
|
|---|---|
| Published in |
Stem Cell Research & Therapy, February 2019
|
| DOI | 10.1186/s13287-019-1170-8 |
| Pubmed ID | |
| Authors |
Benjamin Eggerschwiler, Daisy D. Canepa, Hans-Christoph Pape, Elisa A. Casanova, Paolo Cinelli |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Student > Master | 8 | 15% |
| Student > Doctoral Student | 7 | 13% |
| Researcher | 7 | 13% |
| Student > Bachelor | 4 | 7% |
| Other | 3 | 5% |
| Unknown | 15 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 33% |
| Agricultural and Biological Sciences | 6 | 11% |
| Engineering | 6 | 11% |
| Medicine and Dentistry | 4 | 7% |
| Immunology and Microbiology | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 15 | 27% |