{rfName}
Cl

Indexed in

License and use

Icono OpenAccess

Citations

28130

Altmetrics

Grant support

This work was supported by the grants from the European Union's Horizon 2020 Research and Innovation Programme under Grant agreement No. 847912 (to A.P.), the Instituto de Salud Carlos III-PI16/00904 (to A.P.), Pas a Pas (to A.P.), Save the Mama (to A.P.), Breast Cancer Now-2018NOVPCC1294 (to A.P.), Fundacion Cientifica Asociacion Espanola Contra el Cancer-Ayuda Postdoctoral AECC 2017 (to F.B.-M.), Fundacion SEOM, Becas FSEOM para Formacion en Investigacion en Centros de Referencia en el Extranjero 2018 (to T.P.) and PhD4MD -Departament de Salut expedient SLT008/18/00122 (to N.C.).

Analysis of institutional authors

Share

July 25, 2024
Publications
>
Article
Sí

Cluster analysis and display of genome-wide expression patterns

Publicated to:Proceedings Of The National Academy Of Sciences Of The United States Of America. 95 (25): 14863-14868 - 2021-01-04 95(25), DOI: 10.1073/pnas.95.25.14863

Authors: Eisen, MB; Spellman, PT; Brown, PO; Botstein, D

Affiliations

- Author

Abstract

A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data simultaneously in a form intuitive for biologists. We have found in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function, and we find a similar tendency in human data. Thus patterns seen in genome-wide expression experiments can be interpreted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information is not available currently.

Keywords

american societychemotherapydna microarraygene-expressionhybridizationletrozoleoncology/collegeComprehensive molecular portraitsDna microarrayGene-expressionHybridizationSaccharomyces-cerevisiae

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Proceedings Of The National Academy Of Sciences Of The United States Of America 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, 2021, it was in position 9/74, thus managing to position itself as a Q1 (Primer Cuartil), in the category Multidisciplinary Sciences.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 737.97. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-08-27, the following number of citations:

  • WoS: 14265
  • Scopus: 20
  • Europe PMC: 155

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 2025-08-27:

  • 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: 4223.
  • 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: 4723 (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: 90.85.
  • The number of mentions on the social network X (formerly Twitter): 15 (Altmetric).
  • The number of mentions on Wikipedia: 15 (Altmetric).
  • The number of mentions in news outlets: 3 (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: Brazil; Italy; United States of America.

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 (Eisen, MB) .