| Title |
Effects of Meal Frequency on Metabolic Profiles and Substrate Partitioning in Lean Healthy Males
|
|---|---|
| Published in |
PLOS ONE, June 2012
|
| DOI | 10.1371/journal.pone.0038632 |
| Pubmed ID | |
| Authors |
Marjet J. M. Munsters, Wim H. M. Saris |
| Abstract |
The daily number of meals has an effect on postprandial glucose and insulin responses, which may affect substrate partitioning and thus weight control. This study investigated the effects of meal frequency on 24 h profiles of metabolic markers and substrate partitioning. |
X Demographics
The data shown below were collected from the profiles of 127 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 37 | 29% |
| United States | 7 | 6% |
| United Kingdom | 7 | 6% |
| Mexico | 3 | 2% |
| Argentina | 3 | 2% |
| Venezuela, Bolivarian Republic of | 3 | 2% |
| Netherlands | 2 | 2% |
| Saudi Arabia | 2 | 2% |
| Ireland | 2 | 2% |
| Other | 9 | 7% |
| Unknown | 52 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 104 | 82% |
| Practitioners (doctors, other healthcare professionals) | 17 | 13% |
| Scientists | 4 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | <1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 226 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 18% |
| Student > Bachelor | 41 | 18% |
| Researcher | 20 | 9% |
| Student > Ph. D. Student | 16 | 7% |
| Student > Doctoral Student | 14 | 6% |
| Other | 41 | 18% |
| Unknown | 55 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 18% |
| Nursing and Health Professions | 28 | 12% |
| Agricultural and Biological Sciences | 26 | 11% |
| Sports and Recreations | 19 | 8% |
| Biochemistry, Genetics and Molecular Biology | 15 | 7% |
| Other | 34 | 15% |
| Unknown | 65 | 28% |