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No significant differences were found between the average age of both sexes (p = 0.109).Regarding CTCL subtypes, 30.5% corresponded to mycosis fungoides, 23.2% to cutaneous T-cell lymphoma (not specified), 17.9% to cutaneous anaplastic large-cell lymphoma, 11.9 % to NK/T-cell extranodal nasal-type lymphoma, 9.3% to CD4+ small/medium-sized pleomorphic T-cell lymphoma, 3.3% to lymphomatoid papulosis, 2.6% to panniculitis-like T-cell lymphoma and 1, 3% to adult T-cell leukaemia/lymphoma (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).<elsevierMultimedia ident="tbl0005"></elsevierMultimedia>There were no significant differences between the age averages of the different CTCL subtypes (p = 0.282), nor was there a significant association between sex and the different CTCL subtypes (p = 0.276).After the multivariate analysis, the significant risk assessors were female sex and mycosis fungoides (OR = 2.72; p = 0.03), female sex and CD4+ small/medium-sized pleomorphic T-cell lymphoma (OR = 3.91; p = 0.04), and age and panniculitis-like T-cell lymphoma (OR = 0.94; p = 0.04).A percentage close to 12% of NK/T-cell extranodal nasal type lymphoma was observed, high in comparison to other international series that report between <1 and 7.5%.<a class="elsevierStyleCrossRef" href="#bib0005">1</a> This type of CTCL has been associated with positive serologies for the Epstein-Barr virus.<a class="elsevierStyleCrossRef" href="#bib0020">4</a> In Chile, the seroprevalence of this virus reaches 76.7%, with levels close to 90% at the beginning of the third decade of life, thus being among the countries with the highest seroprevalence.<a class="elsevierStyleCrossRef" href="#bib0025">5</a>Statistically significant risk assessors were obtained through the multivariate analysis with multinomial logistic regression. In the case of mycosis fungoides, a high risk was obtained in female patients compared to men, close to 172% (OR: 2.72), adjusted for age. Similar results were obtained for cases of CD4+ small/medium-sized pleomorphic T-cell lymphoma, in which female patients were 290% (OR: 3.9) more likely to have this type of lymphoma. This could be explained by a clinical perception that women tend to seek medical help earlier for health problems and, therefore, this association and risk estimation would require further studies in this regard.Finally, the present study corresponds to the first nationwide study in Chile that involves an epidemiological analysis and classifies cutaneous T-cell lymphomas according to EORTC-WHO, including all patients treated in the public health system at national level referred to the PANDA program during the period 2006–2012.The multiple results shown here are consistent with data reported in other international studies, with mycosis fungoides being the most common CTCL. High proportions of aggressive lymphomas such as NK/T-cell lymphoma, nasal-type, were found, and may be associated with a high prevalence of Epstein-Barr in our population.This study shows a necessary, nationwide baseline description of CTCL epidemiology, so that it can prompt public governmental policies aimed at improving the care, diagnosis and access to treatment of patients with cutaneous lymphomas.Conflict of interestThe authors declare no conflict of interest of any kind." "textoCompletoSecciones" => array:1 [ "secciones" => array:2 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Conflict of interest" ] 1 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2018-07-26" "fechaAceptado" => "2018-11-08" "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "Please cite this article as: Arellano J, Salinas MP, Araya MI. Epidemiologia del linfoma cutáneo primario de células T en Chile: años 2006-2012. Med Clin (Barc). 2020;154:236–237." ] ] "multimedia" => array:1 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "SD: standard deviation." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Diagnosis \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Proportion % (no.) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Mean ± SD (years) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">[0.4–5] Sex % (no.)</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Male \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Female \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Mycosis fungoides \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30.5 (46) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61.3 ± 14.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26 (21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36 (25) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cutaneous T-cell lymphoma, unspecified \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23.2 (35) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61.4 ± 15.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 (24) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (11) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cutaneous anaplastic large cell lymphoma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17.9 (27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58.6 ± 16.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 (16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (11) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Extranodal NK/T-cell lymphoma, nasal type \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11.9 (18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">54.9 ± 18.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 (9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13 (9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CD4+ small/medium pleomorphic T-cell lymphoma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.3 (14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">63.8 ± 10.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13 (9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Lymphomatoid papulosis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.3 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">64.6 ± 12.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Panniculitis-like T-cell lymphoma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.6 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44.5 ± 18.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3 (2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Adult T-cell leukaemia/lymphoma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.3 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73.5 ± 7.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2263672.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Distribution of patients according to diagnosis, age and sex." ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:5 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "WHO-EORTC classification for cutaneous lymphomas" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "R. Willemze" 1 => "E.S. Jaffe" 2 => "G. Burg" 3 => "L. Cerroni" 4 => "E. Berti" 5 => "S.H. Swerdiow" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1182/blood-2004-09-3502" "Revista" => array:6 [ "tituloSerie" => "Blood." "fecha" => "2005" "volumen" => "105" "paginaInicial" => "3768" "paginaFinal" => "3785" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/15692063" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0010" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Cutaneous lymphoma incidence patterns in the United States: a population-based study of 3884 cases" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "P.T. Bradford" 1 => "S.S. Devesa" 2 => "W.F. Anderson" 3 => "J.R. Toro" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1182/blood-2008-10-184168" "Revista" => array:6 [ "tituloSerie" => "Blood." "fecha" => "2009" "volumen" => "113" "paginaInicial" => "5064" "paginaFinal" => "5073" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19279331" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0015" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Guía Clínica Linfoma en Personas de 15 años y más" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "Ministerio de Salud de Chile" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:3 [ "fecha" => "2005" "editorial" => "Minsal" "editorialLocalizacion" => "Santiago de Chile" ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0020" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Cytotoxic/natural killer cell cutaneous lymphomas: report of EORTC Cutaneous Lymphoma Task Force Workshop" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Santucci" 1 => "N. Pimpinelli" 2 => "D. Massi" 3 => "M.E. Kadin" 4 => "C.J. Meijer" 5 => "H.K. Müller-Hermelink" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1002/cncr.11107" "Revista" => array:7 [ "tituloSerie" => "Cancer." "fecha" => "2003" "volumen" => "97" "paginaInicial" => "610" "paginaFinal" => "627" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12548603" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S0735109712055556" "estado" => "S300" "issn" => "07351097" ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0025" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Seroprevalencia de infección por virus Epstein Barr en población sana de Santiago de Chile" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M. Ferrés" 1 => "P.D. Prado" 2 => "J.P. Ovalle" 3 => "R.V. Fuentes" 4 => "L.D. Villarroel" 5 => "C. Ferrecio" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Rev Med Chile" "fecha" => "1995" "volumen" => "123" "paginaInicial" => "1447" "paginaFinal" => "1452" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/8733260" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] ] "idiomaDefecto" => "en" "url" => "/23870206/0000015400000006/v1_202003210833/S2387020620300383/v1_202003210833/en/main.assets" "Apartado" => array:4 [ "identificador" => "43311" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Scientific letters" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/23870206/0000015400000006/v1_202003210833/S2387020620300383/v1_202003210833/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2387020620300383?idApp=UINPBA00004N"]

ISSN: 2387-0206

Launched in 1943, Medicina Clínica is a fortnightly journal aimed at the promotion of clinical research and practice among internal medicine and other specialists. The key characteristics of Medicina Clínica are the scientific and methodological rigor of its manuscripts, the topicality of its contents, and, especially, its practical focus with highly useful information for clinical practice. Medicina Clínica is predominantly interested in publishing original research manuscripts, which are rigorously selected according to their quality, originality, and interest, and also in continued medical education-oriented manuscripts, which are commissioned by the journal to relevant authors (Editorials, Reviews, and Diagnosis and Treatment). These manuscripts contain updated topics with a major clinical or conceptual relevance in modern medicine. The journal adheres to the standards of academic research publications in all aspects including peer-review and ethical principles. Medicina Clínica is included in the General and Internal Medicine category of Thomson Reuters.

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Impact factor

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.

© Clarivate Analytics, Journal Citation Reports 2022

Impact factor 2023

2.6

Citescore

CiteScore measures average citations received per document published.

Citescore 2023

3.1

SJR

SRJ is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and qualitative measure of the journal's impact.

SJR 2023

0.371

SNIP

SNIP measures contextual citation impact by wighting citations based on the total number of citations in a subject field.

SNIP 2023

0.511

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