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Analysis of institutional authors

Rodriguez-Paton, AlfonsoAuthor

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June 9, 2019
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Sensitivity analysis of Repast computational ecology models with R/Repast

Publicated to: Ecology and Evolution. 6 (24): 8811-8831 - 2016-12-01 6(24), DOI: 10.1002/ece3.2580

Authors:

García, AP; Rodríguez-Patón, A
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Affiliations

Univ Politecn Madrid, Dept Inteligencia Artificial - Author

Abstract

Computational ecology is an emerging interdisciplinary discipline founded mainly on modeling and simulation methods for studying ecological systems. Among the existing modeling formalisms, the individual-based modeling is particularly well suited for capturing the complex temporal and spatial dynamics as well as the nonlinearities arising in ecosystems, communities, or populations due to individual variability. In addition, being a bottom-up approach, it is useful for providing new insights on the local mechanisms which are generating some observed global dynamics. Of course, no conclusions about model results could be taken seriously if they are based on a single model execution and they are not analyzed carefully. Therefore, a sound methodology should always be used for underpinning the interpretation of model results. The sensitivity analysis is a methodology for quantitatively assessing the effect of input uncertainty in the simulation output which should be incorporated compulsorily to every work based on in-silico experimental setup. In this article, we present R/Repast a GNU R package for running and analyzing Repast Simphony models accompanied by two worked examples on how to perform global sensitivity analysis and how to interpret the results.
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Keywords

computational ecologyindividual?based modelingrepastsensitivity analysisBacterial-populationsComputational ecologyConjugationDesignIndividual-based modelingIndividual‐based modelingPlasmidProtocolRepastSensitivity analysisSimulationSystemsSystems biology

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Ecology and Evolution due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2016, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Nature and Landscape Conservation. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • WoS: 3
  • Scopus: 3
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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 2026-04-25:

  • 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: 45.
  • 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: 45 (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: 1.
  • 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/45441/

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: 441
  • Downloads: 414
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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 (PRESTES GARCIA, ANTONIO) and Last Author (RODRIGUEZ-PATON ARADAS, ALFONSO VICENTE).

the author responsible for correspondence tasks has been PRESTES GARCIA, ANTONIO.

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Awards linked to the item

European FP7-ICT-FET EU Research Project, Grant/Award Number: 612146; Spanish Government (MINECO), Grant/Award Number: TIN2012-36992
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