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Analysis of institutional authors

Duenas-Pamplona, JCorresponding AuthorGarcia, JgAuthor

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July 5, 2021
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A comprehensive comparison of various patient-specific CFD models of the left atrium for atrial fibrillation patients

Publicated to: Computers in Biology and Medicine. 133 104423- - 2021-06-01 133(), DOI: 10.1016/j.compbiomed.2021.104423

Authors:

Duenas-Pamplona, Jorge; Garcia Garcia, Javier; Sierra-Pallares, Jose; Ferrera, Conrado; Agujetas, Rafael; Lopez-Minguez, Jose Ramon
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Affiliations

Hosp Univ Badajoz, Secc Cardiol Intervencionista, Serv Cardiol, Avda Elvas S-N, Badajoz 06006, Spain - Author
Univ Extremadura, Dept Ingn Mecdn Energet & Mat, Escuela Ingn Ind, Avda Elvas S-N, Badajoz 06006, Spain - Author
Univ Extremadura, Inst Comp Cient Avanzada ICCAEX, Avda Elvas S-N, Badajoz 06006, Spain - Author
Univ Politecn Madrid, Dept Ingn Energet, Escuela Tecn Super Ingn Ind, C Jose Gutierrez Abascal 2, Madrid, Spain - Author
Univ Valladolid, Dept Ingn Energet & Fluidomecon, Escuela Ingn Ind, C Paseo Del Cauce 59, Valladolid, Spain - Author
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Abstract

Background: Recently, advances in medical imaging, segmentation techniques, and high-performance computing have supported the use of patient-specific computational fluid dynamics (CFD) simulations. At present, CFDcompatible atrium geometries can be easily reconstructed from atrium images, providing important insight into the atrial fibrillation (AF) phenomenon, and assistance during therapy selection and surgical procedures. However, the hypothesis assumed for such CFD models should be adequately validated.Aim: This work aims to perform an extensive study of the different hypotheses that are commonly assumed when performing atrial simulations for AF patients, as well as to evaluate and compare the range of indices that are usually applied to assess thrombus formation within the left atrium appendage (LAA).Methods: The atrial geometries of two AF patients have been segmented. The resulting geometries have been registered and interpolated to construct a dynamic mesh, which has been employed to compare the rigid and flexible models. Two families of hemodynamic indices have been calculated and compared: wall shear-based and blood age distribution-based.Results: The findings of this study illustrate the importance of validating the rigid atrium hypothesis when utilizing an AF CFD model. In particular, the absence of the A-wave contraction does not avoid a certain degree of passive atrial contraction, making the rigid model a poor approximation in some cases. Moreover, a new thrombosis predicting index has been proposed, i.e., M4, which has been shown to predict stasis more effectively than other indicators.
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Keywords

AnticoagulationAppendage occlusionAtrial appendageAtrial fibrillationClosureComputational fluid dynamicsComputed-tomographyDeviceFlowHeart atriaHumansHydrodynamicsImaging techniquesLarge eddy simulationModel validationPatient-specific modellingRiskSegmentationStrokeThrombosisThrombus formation

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Computers in Biology and Medicine due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position 6/57, thus managing to position itself as a Q1 (Primer Cuartil), in the category Mathematical & Computational Biology. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 2.99. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 2.74 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-27, the following number of citations:

  • WoS: 40
  • Scopus: 52
  • Europe PMC: 33
  • Google Scholar: 61
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 56.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 56 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 4.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/85176/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 149
  • Downloads: 54
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (DUEÑAS PAMPLONA, JORGE) .

the author responsible for correspondence tasks has been DUEÑAS PAMPLONA, JORGE.

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Awards linked to the item

This work was supported by Ministerio de Ciencia, Inovacion y Universidades of Spain under contract DPI 201783911R, by Junta de Castilla y Leon under project "Proyecto de apoyo a GIR 2018" with reference VA081G18 and by the Junta de Extremadura under grant GR18175. We want to express our gratitude to the Programa PropioUniversidad Politecnica de Madrid, especially to its predoctoral contract grants. We would like to thank the CeSViMa UPM project for its computational resources. We would also thank Dr. Maria Eugenia Fuentes and Dr. Maria Victoria Millan for their valuable collaboration during data acquisition.
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