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Analysis of institutional authors

Teresa Arredondo, MariaAuthorFernanda Cabrera-Umpierrez, MariaAuthor

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June 9, 2019
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Merging Person-Specific Bio-Markers for Predicting Oral Cancer Recurrence Through an Ontology

Publicated to: IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 60 (1): 216-220 - 2013-01-07 60(1), DOI: 10.1109/TBME.2012.2216879

Authors:

Salvi, Dario; Picone, Marco; Teresa Arredondo, Maria; Fernanda Cabrera-Umpierrez, Maria; Esteban, Angel; Steger, Sebastian; Poli, Tito
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Affiliations

Fraunhofer Inst Comp Graph Res IGD, D-564283 Darmstadt, Germany - Author
MultiMed Srl, I-10127 Turin, Italy - Author
Univ Hosp Parma, Head & Neck Dept, Maxillofacial Surg Sect, I-43100 Parma, Italy - Author
Univ Parma, Dept Informat Engn, I-43125 Parma, Italy - Author
Univ Politecn Madrid, E-28040 Madrid, Spain - Author
Univ Politecn Madrid, Fac Informat, Dept Tecnol Foton, E-28660 Madrid, Spain - Author
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Abstract

One of the major problems related to cancer treatment is its recurrence. Without knowing in advance how likely the cancer will relapse, clinical practice usually recommends adjuvant treatments that have strong side effects. A way to optimize treatments is to predict the recurrence probability by analyzing a set of bio-markers. The NeoMark European project has identified a set of preliminary bio-markers for the case of oral cancer by collecting a large series of data from genomic, imaging, and clinical evidence. This heterogeneous set of data needs a proper representation in order to be stored, computed, and communicated efficiently. Ontologies are often considered the proper mean to integrate biomedical data, for their high level of formality and for the need of interoperable, universally accepted models. This paper presents the NeoMark system and how an ontology has been designed to integrate all its heterogeneous data. The system has been validated in a pilot in which data will populate the ontology and will be made public for further research.
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Keywords

BioinformaticsBiomarkers, tumorBiomedical image processingCancerComputational biologyComputer aided diagnosisDiagnosis, computer-assistedGenetic expressionHumansLymph nodesModels, statisticalMouth neoplasmsNeoplasm recurrence, localOntologiesReproducibility of resultsSquamous-cell carcinomaSurgeryTaxonomyTumors

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 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, 2013, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Biomedical Engineering.

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: 6
  • Europe PMC: 2
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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: 34.
  • 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: 34 (PlumX).

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:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/21458/

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: 470
  • Downloads: 528
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Leadership analysis of institutional authors

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

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 (Salvi, Dario) .

the author responsible for correspondence tasks has been Salvi, Dario.

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Awards linked to the item

This work was supported by the European Union under the 7th Framework Program through the NeoMark (EU-FP7-ICT-2007-2-22483-NeoMark) research project. Asterisk indicates corresponding author.
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