| Title |
The Role of the Frank–Starling Law in the Transduction of Cellular Work to Whole Organ Pump Function: A Computational Modeling Analysis
|
|---|---|
| Published in |
PLoS Computational Biology, April 2009
|
| DOI | 10.1371/journal.pcbi.1000371 |
| Pubmed ID | |
| Authors |
Steven A. Niederer, Nicolas P. Smith |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 6% |
| United States | 1 | 1% |
| Germany | 1 | 1% |
| France | 1 | 1% |
| Unknown | 79 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 26% |
| Student > Ph. D. Student | 20 | 23% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 16 | 18% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 31 | 36% |
| Medicine and Dentistry | 11 | 13% |
| Agricultural and Biological Sciences | 9 | 10% |
| Mathematics | 9 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 10 | 11% |
| Unknown | 13 | 15% |