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Analysis of institutional authors

Garcia, S AlbertoCorresponding AuthorCosta, MAuthorPastor, OscarAuthor

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October 11, 2024
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CardioHotspots: a database of mutational hotspots for cardiac disorders

Publicated to:Database-The Journal Of Biological Databases And Curation. 2024 0- - 2024-07-08 2024(), DOI: 10.1093/database/baae034

Authors: Garcia, S Alberto; Costa, Mireia; Garcia-Zarzoso, Alba; Pastor, Oscar

Affiliations

Univ Politecn Valencia, PROS Res Ctr, VRAIN, Camino Vera S-N - Author
Univ Politecn Valencia, PROS Res Ctr, VRAIN, Camino Vera S-N, Valencia 46022, Spain - Author

Abstract

Mutational hotspots are DNA regions with an abnormally high frequency of genetic variants. Identifying whether a variant is located in a mutational hotspot is critical for determining the variant's role in disorder predisposition, development, and treatment response. Despite their significance, current databases on mutational hotspots are limited to the oncology domain. However, identifying mutational hotspots is critical for any disorder in which genetics plays a role. This is true for the world's leading cause of death: cardiac disorders. In this work, we present CardioHotspots, a literature-based database of manually curated hotspots for cardiac diseases. This is the only database we know of that provides high-quality and easily accessible information about hotspots associated with cardiac disorders. CardioHotspots is publicly accessible via a web-based platform (https://genomics-hub.pros.dsic.upv.es:3099/).Database URL: https://genomics-hub.pros.dsic.upv.es:3099/.

Keywords

Databases, geneticGeneticsGenomicHeart diseasesHumansMutationPrecision medicine

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Database-The Journal Of Biological Databases And Curation 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, 2024 there are still no calculated indicators, but in 2023, it was in position 12/67, thus managing to position itself as a Q1 (Primer Cuartil), in the category Mathematical & Computational Biology.

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 2025-10-13:

  • 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: 3 (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:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

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 (Garcia, SA) and Last Author (Pastor, O).

the authors responsible for correspondence tasks have been García Simón, Alberto and Garcia, SA.