Evidence-based editing: factors influencing the number of citations in a national journal

Purpose: Citations received by papers published within a journal serve to increase its bibliometric impact. The objective of this paper was to assess the influence of publication language, article type, number of authors, and year of publication on the citations received by papers published in Gaceta Sanitaria, a Spanish-language journal of public health. Methods: The information sources were the journal website and the Web of Knowledge, of the Institute of Scientific Information. The period analyzed was from 2007 to 2010. We included original articles, brief original articles, and reviews published within that period. We extracted manually information regarding the variables analyzed and we also differentiated among total citations and self-citations. We constructed logistic regression models to analyze the probability of a Gaceta Sanitaria paper to be cited or not, taking into account the aforementioned independent variables. We also analyzed the probability of receiving citations from non-Spanish authors. Results: Two hundred forty papers fulfilled the inclusion criteria. The included papers received a total of 287 citations, which became 202 when excluding self-citations. The only variable influencing the probability of being cited was the publication year. After excluding never cited papers, time since publication and review papers had the highest probabilities of being cited. Papers in English and review articles had a higher probability of citation from non-Spanish authors. Conclusions: Publication language has no influence on the citations received by a national, non-English journal. Reviews in English have the highest probability of citation from abroad. Editors should decide how to manage this information when deciding policies to raise the bibliometric impact factor of their journals.

Inelastic electron tunneling spectroscopy of a Mn dimer

A scanning tunneling microscope can probe the inelastic spin excitations of single magnetic atoms in a surface via spin-flip assisted tunneling. A particular and intriguing case is the Mn dimer case. We show here that the existing theories for inelastic transport spectroscopy do not explain the observed spin transitions when both atoms are equally coupled to the scanning tunneling microscope tip and the substrate, the most likely experimental situation. The hyperfine coupling to the nuclear spins is shown to lead to a finite excitation amplitude, but the physical mechanism leading to the large inelastic signal observed is still unknown. We discuss some other alternatives that break the symmetry of the system and allow for larger excitation probabilities.

Forecasting Elections with High Volatility

This article uses data from the social survey Allbus 1998 to introduce a method of forecasting elections in a context of electoral volatility. The approach models the processes of change in electoral behaviour, exploring patterns in order to model the volatility expressed by voters. The forecast is based on the matrix of transition probabilities, following the logic of Markov chains. The power of the matrix, and the use of the mover-stayer model, is debated for alternative forecasts. As an example of high volatility, the model uses data from the German general election of 1998. The unification of two German states in 1990 caused the incorporation of around 15 million new voters from East Germany who had limited familiarity and no direct experience of the political culture in West Germany. Under these circumstances, voters were expected to show high volatility.

¿Predice la autoeficacia percibida la ansiedad escolar? Estudio con estudiantes chilenos de Educación Secundaria

Dada la importancia de las creencias de eficacia personal en el desarrollo cognitivo de las personas y su marcada influencia en las reacciones emocionales y conductuales experimentadas sobre todo ante situaciones difíciles, el objetivo de este estudio es analizar la capacidad predictiva de la autoeficacia percibida sobre la ansiedad escolar en una muestra de 1284 estudiantes chilenos de educación secundaria, 634 chicos y 650 chicas (49.4% y 50.6% respectivamente) con edades entre los 14 y 18 años (M = 15.43, DE = 1.24). Para ello, se evaluó la autoeficacia percibida con la Escala de Autoeficacia Percibida Específica de Situaciones Académicas (EAPESA) y la ansiedad escolar con el Inventario de Ansiedad Escolar (IAES). Los análisis de regresión logística revelaron que bajas puntuaciones en autoeficacia académica percibida predicen la alta ansiedad, revelando con ello la influencia de la autoeficacia percibida sobre la ansiedad escolar. A partir de estos resultados, es posible anticipar que la mejora de las expectativas de autoeficacia aumentaría las probabilidades de disminuir los elevados niveles de ansiedad en los estudiantes.