12 research outputs found

    Osteoporosis is a neglected health priority in Arab World: a comparative bibliometric analysis

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    Osteoporosis is an important health problem with serious consequences. Evaluation of osteoporosis scientific output from Arab countries has not been explored and there are few internationally published reports on research activity about osteoporosis. The main objectives of this study were to analyze the research output originating from Arab countries and 3 Middle Eastern non-Arab countries, particularly Israel, Turkey and Iran in the field of osteoporosis. Original scientific articles or reviews published from the 21 Arab countries, Israel, Turkey and Iran about “osteoporosis” were screened using the ISI Web of Science database. The time frame for the result was up to year 2012. The total number of original and review research articles published globally about osteoporosis was 43,571. The leading country in osteoporosis research was United States of America (14,734; 33.82%). Worldwide, Turkey ranked 16th while Israel and Iran ranked 24th and 31st respectively. Among Arab countries, Egypt and Kingdom of Saudi Arabia came on positions 41 and 45 respectively. A total of 426 documents about “osteoporosis” were published from Arab countries which represents 0.98% of the global research output. Research about osteoporosis from Arab countries was very low until 2002 and then increased steadily. The total number of citations for osteoporosis documents from the Arab world was 5551 with an average citation of 13.03 per document and an h- index of 35. Thirty (7.04%) documents published from Arab countries about osteoporosis were published in Saudi Medical Journal. Egypt, with a total publication of 117 (27.47%) ranked first among the Arab countries in research about osteoporosis while American University in Beirut was the most productive institution with a total of 47 (11.03%) documents. Compared with other non-Arab countries in the Middle East, the research productivity from the Arab countries was lesser than that from Turkey and Israel but higher than that from Iran. The present data showed low research productivity in osteoporosis field in Arab countries. Research output can be improved by investing in more international and national collaborative research projects in the field of osteoporosis

    Inter-field nonlinear transformation of journal impact indicators: The case of the h-index

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    [EN] Impact indices used for joint evaluation of research items coming from different scientific fields must be comparable. Often a linear transformation -a normalization or another basic operation-is considered to be enough for providing the correct translation to a unified setting in which all the fields are adequately treated. In this paper it is shown that this is not always true. The attention is centered in the case of the h-index. It is proved that it that cannot be translated by means of direct normalization preserving its genuine meaning. According to the universality of citation distribution, it is shown that a slight variant of the h-index is necessary for this notion to produce comparable values when applied to different scientific fields. A complete example concerning a group of top scientists is shown.The first author was supported by Ministerio de Economia, Industria y Competitividad under Research Grant CSO2015-65594-C2-1R Y 2R (MINECO/FEDER, UE). The second author was suported by Ministerio de Economia, Industria y Competitividad and FEDER under Research Grant MTM2016-77054-C2-1-PFerrer Sapena, A.; Sánchez Pérez, EA. (2019). Inter-field nonlinear transformation of journal impact indicators: The case of the h-index. Journal of Interdisciplinary Mathematics. 22(2):177-199. https://doi.org/10.1080/09720502.2019.1616913S177199222Geuna, A., & Piolatto, M. (2016). Research assessment in the UK and Italy: Costly and difficult, but probably worth it (at least for a while). Research Policy, 45(1), 260-271. doi:10.1016/j.respol.2015.09.004Hicks, D. (2012). Performance-based university research funding systems. Research Policy, 41(2), 251-261. doi:10.1016/j.respol.2011.09.007Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569-16572. doi:10.1073/pnas.0507655102Egghe, L. (2010). The Hirsch index and related impact measures. 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World Neurosurgery, 80(5), e85-e90. doi:10.1016/j.wneu.2012.01.052Waltman, L., & van Eck, N. J. (2011). The inconsistency of the h-index. Journal of the American Society for Information Science and Technology, 63(2), 406-415. doi:10.1002/asi.21678Rousseau, R., García-Zorita, C., & Sanz-Casado, E. (2013). The h-bubble. Journal of Informetrics, 7(2), 294-300. doi:10.1016/j.joi.2012.11.012Burrell, Q. L. (2013). The h-index: A case of the tail wagging the dog? Journal of Informetrics, 7(4), 774-783. doi:10.1016/j.joi.2013.06.004Schreiber, M. (2013). How relevant is the predictive power of the h-index? A case study of the time-dependent Hirsch index. Journal of Informetrics, 7(2), 325-329. doi:10.1016/j.joi.2013.01.001Khan, N. R., Thompson, C. J., Taylor, D. R., Gabrick, K. S., Choudhri, A. F., Boop, F. R., & Klimo, P. (2013). Part II: Should the h-Index Be Modified? An Analysis of the m-Quotient, Contemporary h-Index, Authorship Value, and Impact Factor. World Neurosurgery, 80(6), 766-774. doi:10.1016/j.wneu.2013.07.011Schreiber, M. (2013). A case study of the arbitrariness of the h-index and the highly-cited-publications indicator. Journal of Informetrics, 7(2), 379-387. doi:10.1016/j.joi.2012.12.006Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520(7548), 429-431. doi:10.1038/520429aDienes, K. R. (2015). Completing h. Journal of Informetrics, 9(2), 385-397. doi:10.1016/j.joi.2015.01.003Ayaz, S., & Afzal, M. T. (2016). Identification of conversion factor for completing-h index for the field of mathematics. Scientometrics, 109(3), 1511-1524. doi:10.1007/s11192-016-2122-zWaltman, L. (2016). A review of the literature on citation impact indicators. Journal of Informetrics, 10(2), 365-391. doi:10.1016/j.joi.2016.02.007Van Eck, N. J., & Waltman, L. (2008). Generalizing the h- and g-indices. Journal of Informetrics, 2(4), 263-271. doi:10.1016/j.joi.2008.09.004Egghe, L., & Rousseau, R. (2008). An h-index weighted by citation impact. Information Processing & Management, 44(2), 770-780. doi:10.1016/j.ipm.2007.05.003Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152. doi:10.1007/s11192-006-0144-7Iglesias, J. E., & Pecharromán, C. (2007). Scaling the h-index for different scientific ISI fields. Scientometrics, 73(3), 303-320. doi:10.1007/s11192-007-1805-xEgghe, L. (2008). Examples of simple transformations of the h-index: Qualitative and quantitative conclusions and consequences for other indices. Journal of Informetrics, 2(2), 136-148. doi:10.1016/j.joi.2007.12.003Schreiber, M. (2015). Restricting the h-index to a publication and citation time window: A case study of a timed Hirsch index. Journal of Informetrics, 9(1), 150-155. doi:10.1016/j.joi.2014.12.00
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