Abstract
This study aims to analyze the scientific research progress on human fatigue assessment (HFA) by using a bibliometric method, which was conducted a systematic analyses of 28,028 scientific papers about HFA from the Web of Science database, and the results were discussed from the following perspectives: temporal distribution, geographical distribution, discipline distribution, and key words distribution. In addition, this analysis also provides the network of author co-citation and key words. The results are summarized as follows: 1) the number of papers about HFA increased rapidly since 1990s; 2) The United States is a high-yield, high-cited country with 36.70% of the world’s total literatures, and whose average citation index on HFA research is 47.89 per paper; China is the developing country with the largest number of publications, but its total citations and average citations are backward, only with an average of 21 citations per article; 3) The assessment of human fatigue shows the development trend of multidisciplinary intersecting; 4) There is a relative lack of cooperation among the world’s leading scholars; the Dutch Gijs Bleijenberg is the most published scholar in the world, who have 108 articles on HFA research; the American scholar David Cella has the most influential article, with an h-index of 36; the distribution of Chinese scholars is relatively scattered, and no one has written more than five articles; 5) All of countries in the world had the same research topics, “muscle fatigue” is an important part of the HFA; China needs to pay more attention to the fatigue assessment associated with cancer. The results of the analysis can be used to enhance our understanding of HFA research and support further research in this area.
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Alvarez-Alvarez, S., Jose, F. G., Rodriguez-Fernandez, A. L., Gueita-Rodriguez, J., and Waller, B. J., Effects of Kinesio® tape in low back muscle fatigue: Randomized, controlled, doubled-blinded clinical trial on healthy subjects. J. Back Musculoskelet. Rehabil. 27(2):203–212, 2014.
Amin, H.U., Malik, A.S., Mumtaz, W., Badruddin, N., and Kamel, N., Evaluation of passive polarized stereoscopic 3D display for visual & mental fatigues. Conf. Proc. IEEE Eng. Med. Biol. Soc, 7590-7593, 2015.
Bates, B. T., Osternig, L. R., and James, S. L., Fatigue effects in running. J. Motor Behav. 9(3):203, 1977.
Cella, D., Eton, D. T., Lai, J. S., Peterman, A. H., and Merkel, D. E., Combining anchor and distribution-based methods to derive minimal clinically important differences on the functional assessment of Cancer therapy (FACT) Anemia and fatigue scales. J. Pain Symp. Manag. 24(6):547–561, 2002.
Chang, P. H., Lai, Y. H., Shun, S. C., Lin, L. Y., Chen, M. L., Yang, Y., Tsai, J. C., Huang, G. S., and Cheng, S. Y., Effects of a walking intervention on fatigue-related experiences of hospitalized acute myelogenous leukemia patients undergoing chemotherapy: A randomized controlled trial. J. Pain Symp. Manag. 35(5):524, 2008.
Dong, H. W., Ugalde, I., Figueroa, N., and Saddik, A. E., Towards whole body fatigue assessment of human movement: A fatigue-tracking system based on combined sEMG and accelerometer signals. Sensors 14(2):2052, 2014.
Ertz, M., and Leblanc-Proulx, S., Sustainability in the collaborative economy: A bibliometric analysis reveals emerging interest. J. Clean. Prod. 196:1073–1085, 2018.
Hann, D. M., Jacobsen, P. B., Azzarello, L. M., Martin, S. C., Curran, S. L., Fields, K. K., Greenberg, H., and Lyman, G., Measurement of fatigue in cancer patients: Further validation of the fatigue symptom inventory. Qual. Life Res. 7(4):301–310, 1998.
Hirsch, J.E., An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship, 85(3):741–754, 2010..
Kozomara, M., Mehnert, U., Seifert, B., and Kessler, T. M., Is detrusor contraction during rapid bladder filling caused by cold or warm water? A randomized, controlled, double-blind trial. J. Urol. 199(1):223–228, 2018.
Li, W., and Zhao, Y., Bibliometric analysis of global environmental assessment research in a 20-year period. Environ. Impact Assess. Rev. 50:158–166, 2015.
Li, J., Reniers, G., Cozzani, V., and Khan, F., A bibliometric analysis of peer-reviewed publications on domino effects in the process industry. J. Loss Prevent Process Indust. 49(Part A):103–110, 2016.
Liu, A. Y., Fu, H. Z., Li, S. Y., and Guo, Y. Q., Comments on "global trends of solid waste research from 1997 to 2011 by using bibliometric analysis". Scientometrics 96(1):133–146, 2013.
Mandal, B., Li, L. Y., Wang, G. S., and Lin, J., Towards detection of bus driver fatigue based on robust visual analysis of eye state. IEEE Trans. Intell. Transpo. Syst. 18(3):545–557, 2016.
Mazzanti, L., and Fabiani, P., Neuropsychic fatigue evaluated with the reaction time of chronic alcoholics after ingestion of alcohol. Rassegna Di Studi Psichiatrici 49:647–653, 1960.
Nijhof, L. N., Nijhof, S. L., Bleijenberg, G., Stellato, R. K., Kimpen, J. L. L., Pol, H. E. H., and van de Putte, E. M., The impact of chronic fatigue syndrome on cognitive functioning in adolescents. Eur. J. Pediatr. 175(2):245–252, 2016.
Nunen, K. V., Li, J., Reniers, G., and Ponnet, K., Bibliometric analysis of safety culture research. Saf. Sci. 108:248–258, 2017.
Prinsen, H., Van Dijk, J. P., Zwarts, M. J., Leer, J. W. H., Bleijenberg, G., and Van Laarhoven, H. W. M., The role of central and peripheral muscle fatigue in Postcancer fatigue: A randomized controlled trial. J. Pain Symp. Manag. 49(2):173–182, 2015.
Robinson-Garcia, N., Mongeon, P., Jeng, W., and Costas, R., DataCite as a novel bibliometric source: Coverage, strengths and limitations. J. Inform. 11:841–854, 2017.
Shi, C. S., Ouyang, G., and Guo, T. W., Power spectral analysis of electromyographic signal of masticatory muscles at rest position and habitual clench. J. Prosthet. Dent. 65(4):553–556, 1991.
Solomon, L., Nisenbaum, R., Reyes, M., Papanicolaou, D. A., and Reeves, W. C., Functional status of persons with chronic fatigue syndrome in the Wichita, Kansas, population. Heal. Qual. Life Outcomes 1(1):48, 2003.
Steege, L. M., Drake, D. A., Olivas, M., and Mazza, G., Evaluation of physically and mentally fatiguing tasks and sources of fatigue as reported by registered nurses. J. Nurs. Manag. 23(2):179–189, 2015.
Vogel, R., and Güttel, W. H., The dynamic capability view in strategic management: A bibliometric review. Int. J. Manag. Rev. 15(4):426–446, 2013.
Zhao, C. L., Zhao, M., Liu, J. P., and Zheng, C. X., Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator. Accid. Anal. Prev. 45(1):83–90, 2012.
Zheng, X., Liu, Y. J., Hu, W. H., Huang, H., Ni, Y. P., Zhao, H. N., Jin, Z. Z., and Zhang, C. C., Bibliometrics study on the journal of American college health: 1994-2014. Chin. Nurs. Res. 4(3):133–140, 2017.
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This work was supported in part by the Program of Safety Production Key Technology for Prevention and Control of Serious and Major Accidents of Ministry of Emergency Management Grant No. zhejiang-0003-2018AQ.
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Liu, H., Yu, Z., Chen, C. et al. Visualization and Bibliometric Analysis of Research Trends on Human Fatigue Assessment. J Med Syst 42, 179 (2018). https://doi.org/10.1007/s10916-018-1033-3
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DOI: https://doi.org/10.1007/s10916-018-1033-3