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Analysis of institutional authors

Contador Pachón S.Author

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Identification of blood glucose patterns in patients with type 1 diabetes using continuous glucose monitoring and clustering techniques

Publicated to:Endocrinologia Diabetes y Nutricion. 68 (3): 170-174 - 2021-03-01 68(3), DOI: 10.1016/j.endinu.2019.12.011

Authors: Contador Pachón S; Botella Serrano M; Garnica Alcázar O; Velasco Cabo JM; Aramendi Zurimendi A; Rodríguez Martínez R; Maqueda Villaizán E; Hidalgo Pérez JI

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Abstract

Objective: To show that statistical techniques allow for obtaining a reduced number of four-hour glucose profiles that can identify any glucose behavior in patients with type 1 diabetes mellitus. Material and methods: A retrospective study of 10 patients with type 1 diabetes mellitus was conducted using data collected by continuous glucose monitoring. A data mining technique based on decision trees called CHAID (Chi-square Automatic Interaction Detection) was used to classify glucose profiles into groups using two decision criteria. These were: 1, the seven days of the week, and 2, different time slots, the day being divided into six sections of four hours each. Clustering was performed according to the glucose levels recorded using the statistically significant differences found. Results: Significant differences (P < .05) and dependencies were seen between the glucose profiles classified depending on the independent variables ‘day of the week’ and ‘time slot’. The relationships found were different for each patient, showing the need for individualized studies. Conclusions: The results obtained will facilitate mathematical modeling of glucose, and can be used to develop an individualized classifier for each patient that categorizes glucose profiles based on the day of the week and time slot variables. Using this classifier, it will be possible to predict the glucose levels of the patient knowing on which day of the week and in which time slot he/she is, leading to more precise models. Healthcare professionals will also be able to improve patient habits and therapies.

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Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

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 2025-06-07:

  • Scopus: 1
  • OpenCitations: 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 2025-06-07:

  • 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: 13.
  • 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: 26 (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: 1.5.
  • The number of mentions on the social network X (formerly Twitter): 2 (Altmetric).

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 (CONTADOR PACHON, SERGIO) .