| Title |
The Human Endogenous Circadian System Causes Greatest Platelet Activation during the Biological Morning Independent of Behaviors
|
|---|---|
| Published in |
PLOS ONE, September 2011
|
| DOI | 10.1371/journal.pone.0024549 |
| Pubmed ID | |
| Authors |
Frank A. J. L. Scheer, Alan D. Michelson, Andrew L. Frelinger, Heather Evoniuk, Erin E. Kelly, Mary McCarthy, Lauren A. Doamekpor, Marc R. Barnard, Steven A. Shea |
| Abstract |
Platelets are involved in the thromboses that are central to myocardial infarctions and ischemic strokes. Such adverse cardiovascular events have day/night patterns with peaks in the morning (~9 AM), potentially related to endogenous circadian clock control of platelet activation. The objective was to test if the human endogenous circadian system influences (1) platelet function and (2) platelet response to standardized behavioral stressors. We also aimed to compare the magnitude of any effects on platelet function caused by the circadian system with that caused by varied standardized behavioral stressors, including mental arithmetic, passive postural tilt and mild cycling exercise. |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 7 | 32% |
| United States | 1 | 5% |
| Papua New Guinea | 1 | 5% |
| Palestine, State of | 1 | 5% |
| Unknown | 12 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 95% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Croatia | 1 | <1% |
| Unknown | 133 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 17% |
| Student > Ph. D. Student | 23 | 17% |
| Student > Master | 15 | 11% |
| Student > Bachelor | 13 | 9% |
| Professor | 8 | 6% |
| Other | 24 | 17% |
| Unknown | 32 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 26% |
| Agricultural and Biological Sciences | 18 | 13% |
| Neuroscience | 14 | 10% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Psychology | 4 | 3% |
| Other | 12 | 9% |
| Unknown | 43 | 31% |