medigraphic.com
Instituto Nacional de Neurología y Neurocirugía

2020, Number 3

<< Back Next >>

Arch Neurocien 2020; 25 (3)

Assessment of the scientific impact of Archivos de Neurociencias 2001- 2016: challenges and opportunities

Diéguez-Campa CE, Sandoval H, Ríos C, Pérez-Neri I

Language: Spanish
References: 31
Page: 70-78
PDF size: 406.23 Kb.


ABSTRACT

Background: Mexico is one of the countries with the highest scientific productivity in Latin America. One Mexican journal with a long history of publication is Archivos de Neurociencias (Arch Neurocien). Arch Neurocien evaluates its performance through citation-based indicators. A well-known indicator is “Impact Factor™” (IF). IF reflects the average number of citations received by articles published in journals indexed in the Journal of Citation Reports (JCR). Other similar indicators exist, like CiteScore and Scimago Journal Rank (SJR). Among them, IF represents the “gold standard”. Arch Neurocien is not indexed in JCR. Aims: In the present study, an Estimated Impact Factor (EIF) for the journal was calculated. Method: The methodology from Clarivate Analytics was used. Results were compared with other indicators to obtain a quantitative diagnosis of journal’s scientific impact. Results: Arch Neurocien showed an average of 0.39 citations/article. Most citations to Arch Neurocien appear in the same journal (self-citations), followed by Revista de Neurología (Spain) and Revista Mexicana de Neurociencias. Average EIF was 0.027±0.005. The highest EIF was 0.068 in 2001. EIF was significantly correlated with CiteScore (r=0.916, r2=0.840, p=0.010) and SJR (r=0.736, r2=0.543, p=0.001). Conclusion: Several strategies to improve the quality of its published articles are suggested, such as performing a complete revision of its editorial committee, promoting open access to its publications and developing strategies for its mass distribution.


REFERENCES

  1. Quintanilla-Montoya AL. La ciencia y su producción de conocimiento en América Latina. Investig Ambient. 2010;2(1):83-91. https://micrositios.inecc.gob.mx/publicaciones/gacetas/634/ciencia.pdf

  2. Arbaiza-Bayona AL. Revistas científicas estudiantiles de psicología en Latinoamérica. Rev Col Psicol. 2012;21(1):151164. http://www.scielo.org.co/pdf/rcps/v21n1/v21n1a10.pdf

  3. Hubbard SC, McVeigh ME. Casting a wide net: the Journal Impact Factor numerator. Learn Publ. 2011;24(2):133- 137. https://doi.org/10.1087/20110208

  4. Sampaio MIC, Sabadini AAZP. La merecida visibilidad de las revistas latinoamericanas de psicología. Rev Col Psicol. 2012; 21(1):111-123. https://www.redalyc.org/pdf/804/80424036008.pdf

  5. Caballero-Uribe CV, Cuello M, Lubo A, Martínez D, Marriaga A, Ospino F et al. El Factor de Impacto (FI) en la evaluación de las revistas biomédicas. Salud Uninorte. 2006;22(2):92-104. http://rcientificas.uninorte.edu.co/ index.php/salud/article/viewArticle/4089/5696

  6. Abadal E, Alcaraz LR. Revistas científicas digitales: características e indicadores. Rev Univ Soc Conoc. 2006;3(1):6- 20. https://dialnet.unirioja.es/servlet/articulo?codigo=1970697

  7. Clarivate. Impact factor. 2019. https://clarivate.com/essays/impact-factor/

  8. Scopus. 2019. https://www.scopus.com/home.uri

  9. Scimago Journal & Country Rank. 2019. https://www.scimagojr.com/index.php

  10. Huh S. Journal Metrics of Infection & Chemotherapy and Current Scholarly Journal Publication Issues. Infect Chemother. 2018; 50(3):219-227. DOI: 10.3947/ic.2018.50.3.219

  11. Ortiz A, Vinck C. The new Clinical Kidney Journal, 4 years later. Clin Kidney J. 2019;12(1):1-5. DOI: 10.1093/ckj/sfy139

  12. CCINSHAE. Clasificación Cualitativa de las Revistas Científicas Periódicas y Libros 2019 https://www.gob.mx/cms/ uploads/attachment/file/178360/ANEXO_2_Ingreso_Promocion_y_permanencia__2017.pdf

  13. Diéguez-Campa CE, Pérez-Neri I. Impacto de la revista Archivos de Neurociencias alrededor del mundo. Arch Neurocien. 2018; 23(1):55-63. http://archivosdeneurociencias.com/revista

  14. Rodriguez RM, Chan V, Wong AHK, Montoy JCC. A Review of Journal Impact Metrics and Characteristics to Assist Emergency Medicine Investigators with Manuscript Submission Decisions. West J Emerg Med. 2020; 21(4):877- 882. DOI: 10.5811/westjem.2020.4.47030

  15. Butler D. Free journal-ranking tool enters citation market. Nature. 2008; 451(7174):6. DOI: 10.1038/451006a

  16. Aguado-López E, Becerril-García A, Arriola ML, Martínez-Domínguez ND. Iberoamérica en la ciencia de corriente principal (Thomson Reuters/Scopus): una región fragmentada. Interciencia. 2014; 39(8):570-579. https://www. redalyc.org/pdf/339/33931820006.pdf

  17. CONACYT. Criterios Específicos de Evaluación Área III: Ciencias Médicas y de la Salud. 2019.https://www.conacyt. gob.mx/index.php/sni/otros/marco-legalsni/ criterios-sni/13716-criterios-especificos-aiii/file

  18. Time to remodel the journal impact factor. [editorial]. Nature. 2016; 535(7613):466. DOI: 10.1038/535466a

  19. Fernández-Ríos L, Rodriguez-Diaz J. The “impact factor style of thinking”: A new theoretical framework. Int J Clin Health Psychol. 2014; 14(2):154-160. DOI: 10.1016/S1697-2600(14)70049-3

  20. Grzybowski A, Patryn R. Impact factor: Universalism and reliability of assessment. Clin Dermatol. 2017;35(3):331- 334. https://doi.org/10.1016/j.clindermatol.2016.07.012

  21. Monge-Nájera J. La invalidez del Factor de Impacto como indicador del impacto de las revistas científicas latinoamericanas. Rev Biol Trop. 2014; 62(1):9-13. PMID: 24912339

  22. Salinas AM, Andalia RC. Algunas consideraciones sobre el factor de impacto y la visibilidad internacional de la producción científica cubana en ciencias médicas. Rev Cuban Cardiol. 2011; 17(3):201-208. http://www. revcardiologia.sld.cu/index.php/revcardiologia/article/download/108/55

  23. Miguel S, Herrero-Solana V. Visibilidad de las revistas latinoamericanas de bibliotecología y ciencia de la información a través de Google Scholar. Cienc da Inf. 2010; 39(2):54-67. DOI: 10.1590/S0100-19652010000200004

  24. Oyarzún Gómez M, Ramírez Venegas A, Agüero Fernández A, Martínez JAB, Bermúdez Gómez M, Cáneva JO et al. Estudio situacional de siete revistas latinoamericanas de neumología. J Bras Pneumol. 2007; 33(3):358-361. https://www.scielo.br/scielo.php?pid=S1806-37132007000300021&script=sci_abstract&tlng=pt

  25. Wiener M, Sommer FT, Ives ZG, Poldrack RA, Litt B. Enabling an Open Data Ecosystem for the Neurosciences. Neuron View. 2016; 92(3):617-621. https://doi.org/10.1016/j.neuron.2016.10.037

  26. Glaser JI, Benjamin AS, Farhoodi R, Kording KP. The roles of supervised machine learning in systems neuroscience. Prog Neurobiol. 2019; 175:126-137. DOI: 10.1016/j.pneurobio.2019.01.008

  27. Roos LE, Horn S, Berkman ET, Pears K, Fisher PA. Leveraging translational neuroscience to inform early intervention and addiction prevention for children exposed to early life stress. Neurobiol Stress. 2018; 9:231-240. DOI: 10.1016/j.ynstr.2018.10.004

  28. Amorim RC, Castro JA, Da Silva JR, Ribeiro C. A comparison of research data management platforms: architecture, flexible metadata and interoperability. Universal Access Inf. 2017; 16(4):851-862. https://doi.org/10.1007/ s10209-016-0475-y

  29. Atkinson M, Gesing S, Montagnat J, Taylor I. Scientific workflows: Past, present and future. Future Gener Comp Sy. 2017; 75:216-227. DOI: 10.1016/j.future.2017.05.041

  30. Mora MN. How Law and Neuroscience became a new field of study. Bioethics UPdate. 2019; 5(2):75-88. DOI: 10.1016/j.bioet.2018.10.001

  31. Pineda C, Pérez-Neri I, Sandoval H. Challenges for social media editors in rheumatology journals: an outlook. Clin Rheumatol. 2019; 38(6):1785-1789. DOI: 10.1007/s10067-019-04586-2




2020     |     www.medigraphic.com