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Co-Authors

This is a "connection" page, showing publications co-authored by Jeffrey Hausdorff and Lisa Barnes.

 
Connection Strength
  
 
 
0.509
  
  1. Weiss A, Herman T, Mirelman A, Shiratzky SS, Giladi N, Barnes LL, Bennett DA, Buchman AS, Hausdorff JM. The transition between turning and sitting in patients with Parkinson's disease: A wearable device detects an unexpected sequence of events. Gait Posture. 2019 01; 67:224-229.
    View in: PubMed
    Score: 0.175
  2. Weiss A, Mirelman A, Giladi N, Barnes LL, Bennett DA, Buchman AS, Hausdorff JM. Transition Between the Timed up and Go Turn to Sit Subtasks: Is Timing Everything? J Am Med Dir Assoc. 2016 09 01; 17(9):864.e9-864.e15.
    View in: PubMed
    Score: 0.151
  3. Poole VN, Dawe RJ, Lamar M, Esterman M, Barnes L, Leurgans SE, Bennett DA, Hausdorff JM, Buchman AS. Dividing attention during the Timed Up and Go enhances associations of several subtask performances with MCI and cognition. PLoS One. 2022; 17(8):e0269398.
    View in: PubMed
    Score: 0.057
  4. Buchman AS, Dawe RJ, Leurgans SE, Curran TA, Truty T, Yu L, Barnes LL, Hausdorff JM, Bennett DA. Different Combinations of Mobility Metrics Derived From a Wearable Sensor Are Associated With Distinct Health Outcomes in Older Adults. J Gerontol A Biol Sci Med Sci. 2020 05 22; 75(6):1176-1183.
    View in: PubMed
    Score: 0.049
  5. von Coelln R, Dawe RJ, Leurgans SE, Curran TA, Truty T, Yu L, Barnes LL, Shulman JM, Shulman LM, Bennett DA, Hausdorff JM, Buchman AS. Quantitative mobility metrics from a wearable sensor predict incident parkinsonism in older adults. Parkinsonism Relat Disord. 2019 08; 65:190-196.
    View in: PubMed
    Score: 0.046
  6. Buchman AS, Leurgans SE, Weiss A, Vanderhorst V, Mirelman A, Dawe R, Barnes LL, Wilson RS, Hausdorff JM, Bennett DA. Associations between quantitative mobility measures derived from components of conventional mobility testing and Parkinsonian gait in older adults. PLoS One. 2014; 9(1):e86262.
    View in: PubMed
    Score: 0.032
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.