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Analysis of institutional authors

Hernandez WCorresponding AuthorArques-Orobon FjAuthorGonzalez-Posadas VAuthorJiménez-Martín JlAuthor

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December 5, 2022
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Statistical Analysis of the Impact of COVID-19 on PM2.5 Concentrations in Downtown Quito during the Lockdowns in 2020

Publicated to:Sensors. 22 (22): 8985- - 2022-01-01 22(22), DOI: 10.3390/s22228985

Authors: Hernandez W; Arqués-Orobón FJ; González-Posadas V; Jiménez-Martín JL; Rosero-Montalvo PD

Affiliations

IT Univ Copenhagen, Comp Sci Dept, DK-2300 Copenhagen, Denmark - Author
IT-Universitetet i København - Author
Univ Amer, Fac Ingn & Ciencias Aplicadas, Quito 170124, Ecuador - Author
Univ Politecn Madrid, Dept Teoria Senal & Comunicac, ETSIS Telecomunicac, Madrid 28031, Spain - Author
Universidad de las Americas - Ecuador - Author
Universidad Politécnica de Madrid - Author
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Abstract

In this paper, a comparative analysis between the PM (Formula presented.) concentration in downtown Quito, Ecuador, during the COVID-19 pandemic in 2020 and the previous five years (from 2015 to 2019) was carried out. Here, in order to fill in the missing data and achieve homogeneity, eight datasets were constructed, and 35 different estimates were used together with six interpolation methods to put in the estimated value of the missing data. Additionally, the quality of the estimations was verified by using the sum of squared residuals and the following correlation coefficients: Pearson’s r, Kendall’s (Formula presented.), and Spearman’s (Formula presented.). Next, feature vectors were constructed from the data under study using the wavelet transform, and the differences between feature vectors were studied by using principal component analysis and multidimensional scaling. Finally, a robust method to impute missing data in time series and characterize objects is presented. This method was used to support the hypothesis that there were significant differences between the PM (Formula presented.) concentration in downtown Quito in 2020 and 2015–2019.

Keywords

buildingscovid-19estimation qualitymobilitymultidimensional scalingpm2.5pollutantspredictionprincipal component analysisCommunicable disease controlCorrelation coefficientsCovid-19Estimation qualityHumansIndoor air-qualityMultidimensional scalingPandemicsParticulate matterPm 2.5Pm2.5Principal component analysisResearch design

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Sensors 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, 2022, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Analytical Chemistry.

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 2025-07-30:

  • Scopus: 1

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 2025-07-30:

  • 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: 9.
  • 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: 9 (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: 2.25.
  • The number of mentions on the social network X (formerly Twitter): 2 (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.

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Denmark; Ecuador.

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 (HERNANDEZ PERDOMO, WILMAR) .

the author responsible for correspondence tasks has been HERNANDEZ PERDOMO, WILMAR.