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For: Brusilovskiy E, Klein LA, Salzer MS. Using global positioning systems to study health-related mobility and participation. Social Science & Medicine 2016;161:134-42. [DOI: 10.1016/j.socscimed.2016.06.001] [Cited by in Crossref: 32] [Cited by in F6Publishing: 26] [Article Influence: 5.3] [Reference Citation Analysis]
Number Citing Articles
1 Rahimi Eichi H, Coombs Iii G, Onnela J, Baker JT, Buckner RL. Measures of Behavior and Life Dynamics from Commonly Available GPS Data (DPLocate): Algorithm Development and Validation (Preprint).. [DOI: 10.2196/preprints.41118] [Reference Citation Analysis]
2 Rahimi-eichi H, Coombs G, Onnela J, Baker JT, Buckner RL. Measures of Behavior and Life Dynamics from Commonly Available GPS Data (DPLocate): Algorithm Development and Validation.. [DOI: 10.1101/2022.07.05.22277276] [Reference Citation Analysis]
3 Bagatell N, Chan DV, Syu YC, Lamarche EM, Klinger LG. Sensory Processing and Community Participation in Autistic Adults. Front Psychol 2022;13:876127. [PMID: 35719479 DOI: 10.3389/fpsyg.2022.876127] [Reference Citation Analysis]
4 Park K, Esfahani HN, Novack VL, Sheen J, Hadayeghi H, Song Z, Christensen K. Impacts of disability on daily travel behaviour: A systematic review. Transport Reviews. [DOI: 10.1080/01441647.2022.2060371] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
5 Fulk G. Are We Making the Correct Inferences Based on What We Are Measuring? J Neurol Phys Ther 2021;45:243-5. [PMID: 34369449 DOI: 10.1097/NPT.0000000000000374] [Reference Citation Analysis]
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7 Pfeiffer B, Brusilovskiy E, Hallock T, Salzer M, Davidson AP, Slugg L, Feeley C. Impact of COVID-19 on Community Participation and Mobility in Young Adults with Autism Spectrum Disorders. J Autism Dev Disord 2021. [PMID: 33988774 DOI: 10.1007/s10803-021-05054-0] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
8 Campbell M, Marek L, Hobbs M. Reconsidering movement and exposure: Towards a more dynamic health geography. Geography Compass 2021;15. [DOI: 10.1111/gec3.12566] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
9 Gough C, Baker N, Weber H, Lewis LK, Barr C, Maeder A, George S. Integrating community participation in the transition of older adults from hospital to home: a scoping review. Disabil Rehabil 2021;:1-13. [PMID: 33909534 DOI: 10.1080/09638288.2021.1912197] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Townley G, Brusilovskiy E, Klein L, McCormick B, Snethen G, Salzer MS. Community Mental Health Center Visits and Community Mobility of People with Serious Mental Illnesses: A Facilitator or Constraint? Community Ment Health J 2021. [PMID: 33813724 DOI: 10.1007/s10597-021-00821-w] [Reference Citation Analysis]
11 Gough C, Lewis LK, Barr C, Maeder A, George S. Community participation of community dwelling older adults: a cross-sectional study. BMC Public Health 2021;21:612. [PMID: 33781223 DOI: 10.1186/s12889-021-10592-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
12 Chan DV, Mann A, Gopal S. Applying Environmental Context to Rehabilitation Research Using Geographic Information Systems and Global Positioning Systems Geospatial Technologies. Rehabil Res Policy Educ 2021;35:33-50. [PMID: 34306839 DOI: 10.1891/re-19-39] [Reference Citation Analysis]
13 Välimäki M, Wong MS, Lee P, Kwan RYC, Chung MH, Choi K, Yang L, Yu X, Zhu R, Leung S. Mobility, well-being, and community participation among people with depression: an observation study using geographically-explicit ecological momentary assessment (GEMA) (Preprint).. [DOI: 10.2196/preprints.28847] [Reference Citation Analysis]
14 Begum AS, Alok S, Nessa S. Larval survey and spatial epidemiological analysis of vector Aedes aegypti to study the risk of dengue outbreak in India. GeoJournal 2021;86:81-92. [DOI: 10.1007/s10708-019-10060-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
15 Brusilovskiy E, Klein LA, Townley G, Snethen G, McCormick B, Hiremath SV, Salzer MS. Examining the relationship between community mobility and participation using GPS and self-report data. Soc Sci Med 2020;265:113539. [PMID: 33234453 DOI: 10.1016/j.socscimed.2020.113539] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
16 Bayat S, Naglie G, Rapoport MJ, Stasiulis E, Chikhaoui B, Mihailidis A. Inferring Destinations and Activity Types of Older Adults From GPS Data: Algorithm Development and Validation. JMIR Aging 2020;3:e18008. [PMID: 32720647 DOI: 10.2196/18008] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
17 Marsh A, Hirve S, Lele P, Chavan U, Bhattacharjee T, Nair H, Campbell H, Juvekar S. Validating a GPS-based approach to detect health facility visits against maternal response to prompted recall survey. J Glob Health 2020;10:010602. [PMID: 32426124 DOI: 10.7189/jogh.10.010602] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
18 Kahlert D, Ehrhardt N. Out-of-Home Mobility and Social Participation of Older People: a Photo-Based Ambulatory Assessment Study. Population Ageing 2020;13:547-60. [DOI: 10.1007/s12062-020-09278-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
19 Fillekes MP, Perchoux C, Weibel R, Allemand M. Exploring the Role of Mobility and Personality for Healthy Aging. International Perspectives on Aging 2020. [DOI: 10.1007/978-3-030-32053-9_9] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
20 Depp CA, Bashem J, Moore RC, Holden JL, Mikhael T, Swendsen J, Harvey PD, Granholm EL. GPS mobility as a digital biomarker of negative symptoms in schizophrenia: a case control study. NPJ Digit Med 2019;2:108. [PMID: 31728415 DOI: 10.1038/s41746-019-0182-1] [Cited by in Crossref: 46] [Cited by in F6Publishing: 51] [Article Influence: 15.3] [Reference Citation Analysis]
21 Amiri AM, Hiremath SV, Salzer MS, Snethen G. Predicting physical activity levels in individuals with schizophrenia through integrated global positioning system and accelerometer data. Schizophr Res 2019;212:246-8. [PMID: 31405621 DOI: 10.1016/j.schres.2019.07.027] [Reference Citation Analysis]
22 Fillekes MP, Giannouli E, Kim EK, Zijlstra W, Weibel R. Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research. Int J Health Geogr 2019;18:17. [PMID: 31340812 DOI: 10.1186/s12942-019-0181-0] [Cited by in Crossref: 27] [Cited by in F6Publishing: 29] [Article Influence: 9.0] [Reference Citation Analysis]
23 Scully JY, Moudon AV, Hurvitz PM, Aggarwal A, Drewnowski A. A Time-Based Objective Measure of Exposure to the Food Environment. Int J Environ Res Public Health 2019;16:E1180. [PMID: 30986919 DOI: 10.3390/ijerph16071180] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
24 Šimon M, Vašát P, Poláková M, Gibas P, Daňková H. Activity spaces of homeless men and women measured by GPS tracking data: A comparative analysis of Prague and Pilsen. Cities 2019;86:145-53. [DOI: 10.1016/j.cities.2018.09.011] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 6.0] [Reference Citation Analysis]
25 Fillekes MP, Röcke C, Katana M, Weibel R. Self-reported versus GPS-derived indicators of daily mobility in a sample of healthy older adults. Social Science & Medicine 2019;220:193-202. [DOI: 10.1016/j.socscimed.2018.11.010] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 7.0] [Reference Citation Analysis]
26 George S, Gough C. Evidence for the positive association of physical activity and healthy ageing in longitudinal observational studies. Aust Occup Ther J 2018;65:338-9. [DOI: 10.1111/1440-1630.12502] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
27 Manzoor M, Vimarlund V. Digital technologies for social inclusion of individuals with disabilities. Health Technol (Berl) 2018;8:377-90. [PMID: 30416930 DOI: 10.1007/s12553-018-0239-1] [Cited by in Crossref: 31] [Cited by in F6Publishing: 11] [Article Influence: 7.8] [Reference Citation Analysis]
28 Townley G, Brusilovskiy E, Snethen G, Salzer MS. Using Geospatial Research Methods to Examine Resource Accessibility and Availability as it Relates to Community Participation of Individuals with Serious Mental Illnesses. Am J Community Psychol 2018;61:47-61. [PMID: 29251348 DOI: 10.1002/ajcp.12216] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 2.8] [Reference Citation Analysis]
29 Chambers T, Pearson AL, Kawachi I, Rzotkiewicz Z, Stanley J, Smith M, Barr M, Ni Mhurchu C, Signal L. Kids in space: Measuring children's residential neighborhoods and other destinations using activity space GPS and wearable camera data. Soc Sci Med 2017;193:41-50. [PMID: 28992540 DOI: 10.1016/j.socscimed.2017.09.046] [Cited by in Crossref: 46] [Cited by in F6Publishing: 47] [Article Influence: 9.2] [Reference Citation Analysis]
30 Gluck S, Summers MJ, Goddard TP, Andrawos A, Smith NC, Lange K, Iwashyna TJ, Deane AM. Wide Disagreement Between Alternative Assessments of Premorbid Physical Activity: Subjective Patient and Surrogate Reports and Objective Smartphone Data. Crit Care Med 2017;45:e1036-42. [PMID: 28915184 DOI: 10.1097/CCM.0000000000002599] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]