Scientific Research in The Field of Spinocerebellar Ataxias: A Bibliometric View

Authors

Keywords:

bibliometric analysis, ataxia, SCA, Scopus, scientific production, neurodegenerative diseases.

Abstract

The objective of the present study was to characterize the scientific production related to the field of spinocerebellar ataxias, which constitute neurodegenerative diseases, manifested by progressive and disabling clinical conditions. The research is census-documentary type and recovers metadata from Scopus, corresponding to 5,654 investigations related to this health problem, during the period 1961-2020. The processing explores the main bibliometric characteristics of the published documents, the pace of growth, the authorship of the works, the impact by citation index, as well as the collaboration networks and the structure that follows the flow of knowledge. A notable takeoff in scientific production has been observed since the beginning of the 90s of the last century, coinciding with the development of related research in the field of genetics. There is also a predominance in the study of the types SCA1, SCA2, SCA3, SCA6, and SCA17, where the first four correspond to the most prevalent ataxias worldwide. The documentary corpus reflects the consolidation of relatively stable research groups, headed by scientific leaders and characterized by the sustained expansion of international collaboration and collective and interdisciplinary work. There is also a trend towards increasing the number of references within each document. The largest productive volumes are concentrated in developed countries, along with developing countries where there are high levels of prevalence of this disease.

Author Biographies

Miguel Cruz Ramírez, Universidad de Holguín

Miguel Cruz-Ramírez (PhD, Profesor titular de Matemática, Universidad de Holguín. Vicepresidente de la Sociedad Cubana de Matemática y Computación. Secretario de la Filial Oriente Norte de la Academia de Ciencias de Cuba.

Roberto Rodríguez Labrada, Centro de Neurociencias de Cuba

Roberto Rodríguez-Labrada (PhD, microbiólogo y neurofisiólogo con doctorado en Ciencias de la Salud. Subdirector de Investigación y Desarrollo del Centro de Neurociencias de Cuba. Miembro de la Academia de Ciencias de Cuba. Joven Afiliado de la Academia Mundial de las Ciencias. Profesor Titular, investigador asociado del CIRAH.

Luis Clodovaldo Velázquez Pérez, Academia de Ciencias de Cuba

Luis Clodovaldo Velázquez-Pérez (MD, PhD, DSc. Neurólogo y neurofisiólogo clínico con doctorado en ciencias médicas y doctorado avanzado en ciencias. Miembro Distinguido y presidente de la Academia de Ciencias de Cuba, La Habana. Profesor titular y profesor invitado de la Universidad de Holguín y director fundador de la Red Panamericana de Ataxias Hereditarias. Investigador principal del CIRAH.

References

Diallo A, Jacobi H, Tezenas du Montcel S, Klockgether T. Natural history of most common spinocerebellar ataxia: a systematic review and meta-analysis. Journal of Neurology. 2021;268(8):2749-56. DOI: https://doi.org/10.1007/s00415-020-09815-2

Orr HT, Chung M-Y, Banfi S, Kwiatkowski TJJr, Servadio A, Beaudet AL, et al. Expansion of an unstable trinucleotide CAG repeat in spinocerebellar ataxia type 1. Nature Genetics. 1993;4(3):221-6. DOI: https://doi.org/10.1038/ng0793-221

Velázquez L, Vázquez Y, Rodríguez R. Ataxias hereditarias y COVID-19: posibles implicaciones fisiopatológicas y recomendaciones. Anales de la Academia de Ciencias de Cuba. 2020 [acceso 08/12/2023];10(2). Disponible en: http://www.revistaccuba.cu/index.php/revacc/rt/printerFriendly/801/830

Velázquez L, Rodríguez R. Riluzole and spinocerebellar ataxia type 2: the ATRIL trial. The Lancet Neurology (preprint). 2022;21(3):e3. DOI: https://doi.org/10.1016/S1474-4422(22)00028-X

Teive HAG, Meira AT, Camargo CE, Munhoz RP. The geographic diversity of spinocerebellar ataxias (SCAs) in the Americas: a systematic review. Movement Disorders Clinical Practice. 2019;6(7):531-40. DOI: https://dx.doi.org/10.1002%2Fmdc3.12822

Ortega G, Abenza MJ, Serrano C, Axpe R, Arpa FJ, Adarmes AD, et al. Mapa epidemiológico transversal de las ataxias y paraparesias espásticas hereditarias en España. Neurología (preprint). 2021. DOI: https://doi.org/10.1016/j.nrl.2021.01.006

Martínez MC, Anglada LC, Cruz M. La atención educativa integral a escolares con ataxia en contextos inclusivos. Roca. 2021 [acceso 08/12/2023];5(1):36-48. Disponible en: https://revistas.udg.co.cu/index.php/redel/article/view/2155/4095

Lacorte E, Bellomo G, Nuovo S, Corbo M, Vanacore N, Piscopo P. The use of new mobile and gaming technologies for the assessment and rehabilitation of people with ataxia: a systematic review and meta-analysis. The Cerebellum. 2021;20(3):361-73. DOI: https://doi.org/10.1007/s12311-020-01210-x

Novis LE, Spitz M, Jardim M, Raskin S, Teive HAG. Evidence and practices of the use of next generation sequencing in patients with undiagnosed autosomal dominant cerebellar ataxias: a review. Arquivos de Neuropsiquiatria. 2020 [acceso 08/12/2023];78(9):576-85. Disponible en: https://pubmed.ncbi.nlm.nih.gov/32725052/

Ruano L, Melo C, Silva MC, Coutinho P. The global epidemiology of hereditary ataxia and spastic paraplegia: a systematic review of prevalence studies. Neuroepidemiology. 2014;42(3):174-83. DOI: https://doi.org/10.1159/000358801

Serrano-López AE, Martín-Moreno C, Sanz-Casado E. Análisis bibliométrico de la influencia de la Genética en enfermedades raras a partir de las bases de datos Pubmed y SCI (2000-2009). Revista Española de Documentación Científica. 2013;36(4):e024. DOI: https://doi.org/10.3989/redc.2013.4.970

Shukla R. Indian research output on genetic disorder publication using the Scopus database: A scientometric study. COLLNET Journal of Scientometrics and Information Management. 2019;13(1):91-102. DOI: https://doi.org/10.1080/09737766.2018.1550044

Karthikeyan G, Manoharan A, Swaminathan S. A scientometric study on neuro science with special reference to growth of literature. Indian Journal of Information Sources and Services. 2019 [acceso 08/12/2023];9(1):77-9. Disponible en: http://www.trp.org.in/wp-content/uploads/2019/05/MANLIBNET-IJISS-Vol.9-No.S1-February-2019-pp.-77-79.pdf

Liao Z, Wei W, Yang M, Kuang X, Shi J. Academic publication of neurodegenerative diseases from a bibliographic perspective: a comparative scientometric analysis. Frontiers in Aging Neuroscience. 2021;13:722944. DOI: https://doi.org/10.3389/fnagi.2021.722944

Pajo AT, Espiritu AI, Jamora RDG. Scientific impact of movement disorders research from Southeast Asia: A bibliometric analysis. Parkinsonism & Related Disorders. 2020;81:205-212. DOI: https://doi.org/10.1016/j.parkreldis.2020.10.043

Tesio L, Gamba C, Capelli A, Franchignoni FP. Rehabilitation: The Cinderella of neurological research? A bibliometric study. Italian Journal of Neurological Sciences. 1995;16(7):473-7. DOI: https://doi.org/10.1007/bf02229325

Fan J, Gao Y, Zhao N, Dai R, Zhang H, Feng X, et al. Bibliometric analysis on COVID-19: A comparison of research between English and Chinese studies. Frontiers in Public Health. 2020;8:477. DOI: https://doi.org/10.3389/fpubh.2020.00477

Shamszadeh S, Asgary S, Nosrat A. Regenerative endodontics: A scientometric and bibliometric analysis. Journal of Endodontics. 2019;45(3):272-80. DOI: https://doi.org/10.1016/j.joen.2018.11.010

López-Illescas C, de Moya-Anegón F, Moed HF. Coverage and citation impact of oncological journals in the Web of Science and Scopus. Journal of Informetrics. 2008;2(4):304-16. DOI: https://doi.org/10.1016/j.joi.2008.08.001

Martín-Martín A, Orduna-Malea E, Delgado E. Coverage of highly-cited documents in Google Scholar Web of Science and Scopus: a multidisciplinary comparison. Scientometrics. 2018;116(3):2175-88. DOI: https://doi.org/10.1007/s11192-018-2820-9

Baas J, Schotten M, Plume A, Côté G, Karimi R. Scopus as a curated high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies. 2020;1(1):377-86. DOI: https://doi.org/10.1162/qss_a_00019

Schotten M, El Aisati M, Meester WJN, Steiginga S, Ross CA. A brief history of Scopus: The world’s largest abstract and citation database of scientific literature. En: Cantu-Ortiz FJ, editor. Research Analytics Boosting University Productivity and Competitiveness through Scientometrics. New York: Taylor & Francis Group LLC; 2018. p 31-58. DOI: https://doi.org/10.1201/9781315155890

Zhu J, Liu W. A tale of two databases: the use of Web of Science and Scopus in academic papers. Scientometrics. 2020;123(1):321-35. DOI: https://doi.org/10.1007/s11192-020-03387-8

The R Foundation for Statistical Computing. R: A Language and Environment for Statistical Computing [Computer Software]. Version 4.2.0. Vienna, Austria; 2022. Disponible en: https://www.R-project.org/

Aria M, Cuccurullo C. bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics. 2017;11(4):959-75. DOI: https://doi.org/10.1016/j.joi.2017.08.007

Van Eck NJ, Waltman L. VOSviewer. Visualizing Scientific Landscapes [Computer Software]. Version 1.6.18. Leiden University: Centre for Science and Technology Studies; 2022. Disponible en: https://www.vosviewer.com/

León-Vargas F, Arango JA, Luna HJ. Two decades of research in artificial pancreas: Insights from a bibliometric analysis. Journal of Diabetes Science and Technology. 2022;16(2):434-45. DOI: https://doi.org/10.1177/19322968211005500

Boudry C, Baudouin C, Mouriaux F. International publication trends in dry eye disease research: A bibliometric analysis. The Ocular Surface. 2018;16(1):173-9. DOI: https://doi.org/10.1016/j.jtos.2017.10.002

Ruiz-Pomeda A, Álvarez-Peregrina C, Povedano-Montero F. Bibliometric study of scientific research on optometric visual therapy. Journal of Optometry. 2020;13(3):191-7. DOI: https://doi.org/10.1016/j.optom.2019.12.007

Kim E. A comparative analysis of research on LIS information behavior and health information seeking behavior. Journal of the Korean BIBLIA Society for Library and Information Science. 2019;30(2):167-87. DOI: https://doi.org/10.14699/KBIBLIA.2019.30.2.167

Hirsch JE. An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America–PNAS. 2005;102(46):16569-72. DOI: https://doi.org/10.1073/pnas.0507655102

Egghe L. Theory and practice of the g-index. Scientometrics. 2006;69(1):131-52. DOI: https://doi.org/10.1007/s11192-006-0144-7

Price DJS. Little Science Big Science. New York: Columbia University Press; 1963.

González-Garcés Y, Domínguez-Barrios Y, Zayas-Hernández A, Sigler-Villanueva AA, Canales-Ochoa N, Hernández-Oliver MO, et al. Impacts of the COVID-19 Pandemic on the Mental Health and Motor Deficits in Cuban Patients with Cerebellar Ataxias. The Cerebellum. 2021;20(6):896-903. DOI: https://doi.org/10.1007/s12311-021-01260-9

Egghe L, Ravichandra Rao IK. Classification of growth models based on growth rates and its applications. Scientometric. 1992;25(1):5-46. DOI: https://doi.org/10.1007/BF02016845

Suominen A, Seppänen M. Bibliometric data and actual development in technology life cycles: flaws in assumptions. Foresight. 2014;16(1):37-53. DOI: https://doi.org/10.1108/FS-03-2013-0007

Lutnick E, Cusano A, Sing D, Curry EJ, Li X. Authorship proliferation of research articles in top 10 orthopaedic journals: A 70-year analysis. Journal of the American Academy of Orthopaedic Surgeons: Global Research & Reviews. 2021;5(9):e2100098. DOI: https://dx.doi.org/10.5435/JAAOSGlobal-D-21-00098

Schrock JB, Kraeutler MJ, McCarty EC. Trends in authorship characteristics in The American Journal of Sports Medicine 1994 to 2014. The American Journal of Sports Medicine. 2016;44(7):1857-60. DOI: https://doi.org/10.1177/0363546516639955

Papatheodorou SI, Trikalinos TA, Ioannidis JPA. Inflated numbers of authors over time have not been just due to increasing research complexity. Journal of Clinical Epidemiology. 2008;61(6):546-51. DOI: https://doi.org/10.1016/j.jclinepi.2007.07.017

Lotka AJ. The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences. 1926 [acceso 10/02/2022];16(12):317-23. Disponible en: https://www.jstor.org/stable/i24527553

Kawamura M, Thomas CDL, Tsurumoto A, Sasahara H, Kawaguchi Y. Lotka's law and productivity index of authors in a scientific journal. Journal of Oral Science. 2000;42(2):75-8. DOI: https://doi.org/10.2334/josnusd.42.75

Teixeira da Silva JÁ. The i100-index i1000-index and i10000-index: expansion and fortification of the Google Scholar h-index for finer-scale citation descriptions and researcher classification. Scientometrics. 2021;126(4):3667-72. DOI: https://doi.org/10.1007/s11192-020-03831-9

Ravichandra Rao IK. An analysis of Bradford multipliers and a model to explain law of scattering. Scientometrics. 1998;41(1-2):93-100. DOI: https://doi.org/10.1007/BF02457970

Bradford SC. Sources of information on specific subjects. Journal of Information Science. 1985;10(4):176-80. DOI: https://doi.org/10.1177/016555158501000407

Bohannon R. How to find relevant references for a publication. Psychotherapy Practice. 1988;4(1):41-4. DOI: https://doi.org/10.3109/09593988809161441

Sim J. The use of bibliographic references. Psychotherapy Practice. 1989;5(1):25-32. DOI: https://doi.org/10.3109/09593988909037758

Brzezinski M. Power laws in citation distributions: evidence from Scopus. Scientometrics. 2015;103(1):213-28. DOI: https://doi.org/10.1007/s11192-014-1524-z

Cruz M, Rodríguez R, Velázquez LC. BibliometricAtaxias [Bases de datos]. Figshare. 2022. DOI: https://doi.org/10.6084/m9.figshare.19092233

Cruz M, Rodríguez R, Velázquez LC. StatisticsAtaxias [Códigos en lenguaje R]. Figshare. 2022. DOI: https://doi.org/10.6084/m9.figshare.19092257

Published

2024-03-13

How to Cite

1.
Cruz Ramírez M, Rodríguez Labrada R, Velázquez Pérez LC. Scientific Research in The Field of Spinocerebellar Ataxias: A Bibliometric View. Rev. cuba. inf. cienc. salud [Internet]. 2024 Mar. 13 [cited 2025 Jan. 30];35. Available from: https://acimed.sld.cu/index.php/acimed/article/view/2284

Issue

Section

Artículos Originales

Most read articles by the same author(s)