| Year |
Citation |
Score |
| 2020 |
Grover A, Brychta RJ, Startzell M, Chen K, Marshall B, Christensen J, Meehan C, Valencia A, Gorden P, Brown RJ. SUN-565 The Effect of Leptin Treatment on Blood Pressure and Autonomic Nervous System Function in Patients with Lipodystrophy Journal of the Endocrine Society. 4. DOI: 10.1210/Jendso/Bvaa046.124 |
0.305 |
|
| 2015 |
Sasai H, Brychta RJ, Wood RP, Rothney MP, Zhao X, Skarulis MC, Chen KY. Does Visceral Fat Estimated by Dual-Energy X-ray Absorptiometry Independently Predict Cardiometabolic Risks in Adults? Journal of Diabetes Science and Technology. 9: 917-24. PMID 25802470 DOI: 10.1177/1932296815577424 |
0.626 |
|
| 2013 |
Buchowski MS, Simmons SF, Whitaker LE, Powers J, Beuscher L, Choi L, Ikizler TA, Chen K, Shnelle JF. Fatigability as a function of physical activity energy expenditure in older adults. Age (Dordrecht, Netherlands). 35: 179-87. PMID 22113348 DOI: 10.1007/S11357-011-9338-X |
0.335 |
|
| 2010 |
Rothney MP, Brychta RJ, Meade NN, Chen KY, Buchowski MS. Validation of the ActiGraph two-regression model for predicting energy expenditure. Medicine and Science in Sports and Exercise. 42: 1785-92. PMID 20142778 DOI: 10.1249/Mss.0B013E3181D5A984 |
0.646 |
|
| 2010 |
Choi L, Chen KY, Acra SA, Buchowski MS. Distributed lag and spline modeling for predicting energy expenditure from accelerometry in youth. Journal of Applied Physiology (Bethesda, Md. : 1985). 108: 314-27. PMID 19959770 DOI: 10.1152/japplphysiol.00374.2009 |
0.3 |
|
| 2010 |
Van Domelen D, Koster A, Caserotti P, Brychta R, Chen K, McClain J, Troiano R, Berrigan D, Harris T. Employment and Daily Physical Activity in America Medicine & Science in Sports & Exercise. 42: 49-50. DOI: 10.1249/01.Mss.0000389336.13354.B8 |
0.321 |
|
| 2009 |
Brychta RJ, Rothney MP, Skarulis MC, Chen KY. Optimizing energy expenditure detection in human metabolic chambers. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2009: 6864-8. PMID 19964185 DOI: 10.1109/IEMBS.2009.5333121 |
0.609 |
|
| 2009 |
Rothney MP, Brychta RJ, Schaefer EV, Chen KY, Skarulis MC. Body composition measured by dual-energy X-ray absorptiometry half-body scans in obese adults. Obesity (Silver Spring, Md.). 17: 1281-6. PMID 19584885 DOI: 10.1038/Oby.2009.14 |
0.604 |
|
| 2009 |
Rothney M, Chen K. Reply to Brage, Van Hees, and Brage Journal of Applied Physiology. 106: 1474-1475. DOI: 10.1152/Japplphysiol.00048.2009 |
0.585 |
|
| 2008 |
Rothney MP, Apker GA, Song Y, Chen KY. Comparing the performance of three generations of ActiGraph accelerometers. Journal of Applied Physiology (Bethesda, Md. : 1985). 105: 1091-7. PMID 18635874 DOI: 10.1152/Japplphysiol.90641.2008 |
0.627 |
|
| 2008 |
Rothney MP, Schaefer EV, Neumann MM, Choi L, Chen KY. Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers. Obesity (Silver Spring, Md.). 16: 1946-52. PMID 18535553 DOI: 10.1038/Oby.2008.279 |
0.662 |
|
| 2007 |
Chen KY, Rothney MP, Brychta RJ. Physical activity monitors: do more sensors mean better precision? Journal of Diabetes Science and Technology. 1: 768-70. PMID 19885146 DOI: 10.1177/193229680700100523 |
0.657 |
|
| 2007 |
Rothney MP, Neumann M, Béziat A, Chen KY. An artificial neural network model of energy expenditure using nonintegrated acceleration signals. Journal of Applied Physiology (Bethesda, Md. : 1985). 103: 1419-27. PMID 17641221 DOI: 10.1152/Japplphysiol.00429.2007 |
0.647 |
|
| 2006 |
Rothney MP, Neumann MM, Chen KY. Physical Activity Type Identification Using Tri-Axial Accelerometry Medicine & Science in Sports & Exercise. 38: S560. DOI: 10.1249/00005768-200605001-03203 |
0.61 |
|
| 2006 |
Neumann MM, Rothney MP, Chen KY. Effect of Lead Placement on Activity Measurement, and Energy Expenditure Prediction Using the Actiheart™ Logger Medicine & Science in Sports & Exercise. 38: S556. DOI: 10.1249/00005768-200605001-03188 |
0.658 |
|
| 2005 |
Hanby CL, Matthews CE, Chen K. Counting Steps With Four Physical Activity Monitors Medicine & Science in Sports & Exercise. 37: S117. DOI: 10.1097/00005768-200505001-00602 |
0.329 |
|
| 2003 |
Chen KY, Acra SA, Majchrzak K, Donahue CL, Baker L, Clemens L, Sun M, Buchowski MS. Predicting energy expenditure of physical activity using hip- and wrist-worn accelerometers. Diabetes Technology & Therapeutics. 5: 1023-33. PMID 14709206 DOI: 10.1089/152091503322641088 |
0.365 |
|
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