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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics
|
|---|---|
| Published in |
Nature Genetics, July 2015
|
| DOI | 10.1038/ng.3360 |
| Pubmed ID | |
| Authors |
Martin Hrabě de Angelis, George Nicholson, Mohammed Selloum, Jacqueline K White, Hugh Morgan, Ramiro Ramirez-Solis, Tania Sorg, Sara Wells, Helmut Fuchs, Martin Fray, David J Adams, Niels C Adams, Thure Adler, Antonio Aguilar-Pimentel, Dalila Ali-Hadji, Gregory Amann, Philippe André, Sarah Atkins, Aurelie Auburtin, Abdel Ayadi, Julien Becker, Lore Becker, Elodie Bedu, Raffi Bekeredjian, Marie-Christine Birling, Andrew Blake, Joanna Bottomley, Michael R Bowl, Véronique Brault, Dirk H Busch, James N Bussell, Julia Calzada-Wack, Heather Cater, Marie-France Champy, Philippe Charles, Claire Chevalier, Francesco Chiani, Gemma F Codner, Roy Combe, Roger Cox, Emilie Dalloneau, André Dierich, Armida Di Fenza, Brendan Doe, Arnaud Duchon, Oliver Eickelberg, Chris T Esapa, Lahcen El Fertak, Tanja Feigel, Irina Emelyanova, Jeanne Estabel, Jack Favor, Ann Flenniken, Alessia Gambadoro, Lilian Garrett, Hilary Gates, Anna-Karin Gerdin, George Gkoutos, Simon Greenaway, Lisa Glasl, Patrice Goetz, Isabelle Goncalves Da Cruz, Alexander Götz, Jochen Graw, Alain Guimond, Wolfgang Hans, Geoff Hicks, Sabine M Hölter, Heinz Höfler, John M Hancock, Robert Hoehndorf, Tertius Hough, Richard Houghton, Anja Hurt, Boris Ivandic, Hughes Jacobs, Sylvie Jacquot, Nora Jones, Natasha A Karp, Hugo A Katus, Sharon Kitchen, Tanja Klein-Rodewald, Martin Klingenspor, Thomas Klopstock, Valerie Lalanne, Sophie Leblanc, Christoph Lengger, Elise le Marchand, Tonia Ludwig, Aline Lux, Colin McKerlie, Holger Maier, Jean-Louis Mandel, Susan Marschall, Manuel Mark, David G Melvin, Hamid Meziane, Kateryna Micklich, Christophe Mittelhauser, Laurent Monassier, David Moulaert, Stéphanie Muller, Beatrix Naton, Frauke Neff, Patrick M Nolan, Lauryl M J Nutter, Markus Ollert, Guillaume Pavlovic, Natalia S Pellegata, Emilie Peter, Benoit Petit-Demoulière, Amanda Pickard, Christine Podrini, Paul Potter, Laurent Pouilly, Oliver Puk, David Richardson, Stephane Rousseau, Leticia Quintanilla-Fend, Mohamed M Quwailid, Ildiko Racz, Birgit Rathkolb, Fabrice Riet, Janet Rossant, Michel Roux, Jan Rozman, Edward Ryder, Jennifer Salisbury, Luis Santos, Karl-Heinz Schäble, Evelyn Schiller, Anja Schrewe, Holger Schulz, Ralf Steinkamp, Michelle Simon, Michelle Stewart, Claudia Stöger, Tobias Stöger, Minxuan Sun, David Sunter, Lydia Teboul, Isabelle Tilly, Glauco P Tocchini-Valentini, Monica Tost, Irina Treise, Laurent Vasseur, Emilie Velot, Daniela Vogt-Weisenhorn, Christelle Wagner, Alison Walling, Marie Wattenhofer-Donze, Bruno Weber, Olivia Wendling, Henrik Westerberg, Monja Willershäuser, Eckhard Wolf, Anne Wolter, Joe Wood, Wolfgang Wurst, Ali Önder Yildirim, Ramona Zeh, Andreas Zimmer, Annemarie Zimprich, Chris Holmes, Karen P Steel, Yann Herault, Valérie Gailus-Durner, Ann-Marie Mallon, Steve D M Brown |
| Abstract |
The function of the majority of genes in the mouse and human genomes remains unknown. The mouse embryonic stem cell knockout resource provides a basis for the characterization of relationships between genes and phenotypes. The EUMODIC consortium developed and validated robust methodologies for the broad-based phenotyping of knockouts through a pipeline comprising 20 disease-oriented platforms. We developed new statistical methods for pipeline design and data analysis aimed at detecting reproducible phenotypes with high power. We acquired phenotype data from 449 mutant alleles, representing 320 unique genes, of which half had no previous functional annotation. We captured data from over 27,000 mice, finding that 83% of the mutant lines are phenodeviant, with 65% demonstrating pleiotropy. Surprisingly, we found significant differences in phenotype annotation according to zygosity. New phenotypes were uncovered for many genes with previously unknown function, providing a powerful basis for hypothesis generation and further investigation in diverse systems. |
X Demographics
The data shown below were collected from the profiles of 47 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 23% |
| United Kingdom | 7 | 15% |
| Canada | 3 | 6% |
| Germany | 3 | 6% |
| France | 1 | 2% |
| Ireland | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 20 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 32 | 68% |
| Scientists | 15 | 32% |
Mendeley readers
The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Italy | 2 | <1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Sweden | 1 | <1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 204 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 69 | 31% |
| Student > Ph. D. Student | 33 | 15% |
| Professor | 15 | 7% |
| Student > Bachelor | 14 | 6% |
| Professor > Associate Professor | 14 | 6% |
| Other | 49 | 22% |
| Unknown | 26 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 35% |
| Biochemistry, Genetics and Molecular Biology | 46 | 21% |
| Neuroscience | 16 | 7% |
| Medicine and Dentistry | 13 | 6% |
| Computer Science | 6 | 3% |
| Other | 25 | 11% |
| Unknown | 37 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 105. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 March 2023.
All research outputs
#399,980
of 25,371,292 outputs
Outputs from Nature Genetics
#813
of 7,561 outputs
Outputs of similar age
#4,351
of 269,433 outputs
Outputs of similar age from Nature Genetics
#9
of 68 outputs
Altmetric has tracked 25,371,292 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,561 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,433 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.