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Gearing up to handle the mosaic nature of life in the quest for orthologs

Overview of attention for article published in Bioinformatics, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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15 tweeters


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Gearing up to handle the mosaic nature of life in the quest for orthologs
Published in
Bioinformatics, August 2017
DOI 10.1093/bioinformatics/btx542
Pubmed ID

Kristoffer Forslund, Cecile Pereira, Salvador Capella-Gutierrez, Alan Sousa da Silva, Adrian Altenhoff, Jaime Huerta-Cepas, Matthieu Muffato, Mateus Patricio, Klaas Vandepoele, Ingo Ebersberger, Judith Blake, Jesualdo Tomás Fernández Breis, Brigitte Boeckmann, Toni Gabaldón, Erik Sonnhammer, Christophe Dessimoz, Suzanna Lewis, Adrian Altenhoff, Carla Bello, Judith Blake, Brigitte Boeckmann, Sébastien Briois, Salvador Capella-Gutierrez, Edward Chalstrey, Hirokazu Chiba, Oscar Conchillo-Solé, Vincent Daubin, Todd DeLuca, Christophe Dessimoz, Jean-Francois Dufayard, Dannie Durand, Ingo Ebersberger, Jesualdo Tomás Fernández-Breis, Kristoffer Forslund, Natasha Glover, Alexander Hauser, Davide Heller, Jaime Huerta-Cepas, Mateusz Kaduk, Jan Koch, Eugene V Koonin, Evgenia Kriventseva, Shigehiro Kuraku, Odile Lecompte, Olivier Lespinet, Jeremy Levy, Suzanna Lewis, Benjamin Liebeskind, Benjamin Linard, Marina Marcet-Houben, Maria Martin, Claire McWhite, Sergei Mekhedov, Sebastien Moretti, Matthieu Muffato, Steven Müller, El-Mabrouk Nadia, Cédric Notredame, Mateus Patricio, Simon Penel, Cécile Pereira, Ivana Pilizota, Henning Redestig, Marc Robinson-Rechavi, Fabian Schreiber, Kimmen Sjölander, Nives Škunca, Erik Sonnhammer, Alan Sousa da Silva, Martin Steinegger, Damian Szklarczyk, Paul Thomas, Ernst Thuer, Clément Train, Ikuo Uchiyama, Klaas Vandepoele, Lucas Wittwer, Ioannis Xenarios, Bethan Yates, Evgeny Zdobnov, Robert M Waterhouse


The Quest for Orthologs (QfO) is an open collaboration framework for experts in comparative phylogenomics and related research areas who have an interest in highly accurate orthology predictions and their applications. We here report highlights and discussion points from the QfO meeting 2015 held in Barcelona. Achievements in recent years have established a basis to support developments for improved orthology prediction and to explore new approaches. Central to the QfO effort is proper benchmarking of methods and services, as well as design of standardized datasets and standardized formats to allow sharing and comparison of results. Simultaneously, analysis pipelines have been improved, evaluated, and adapted to handle large datasets. All this would not have occurred without the long-term collaboration of Consortium members. Meeting regularly to review and coordinate complementary activities from a broad spectrum of innovative researchers clearly benefits the community. Highlights of the meeting include addressing sources of and legitimacy of disagreements between orthology calls, the context dependency of orthology definitions, special challenges encountered when analyzing very anciently rooted orthologies, orthology in the light of whole-genome duplications, and the concept of orthologous versus paralogous relationships at different levels, including domain-level orthology. Furthermore, particular needs for different applications (e.g. plant genomics, ancient gene families, and others) and the infrastructure for making orthology inferences available (e.g. interfaces with model organism databases) were discussed, with several ongoing efforts that are expected to be reported on during the upcoming 2017 QfO meeting.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 13 25%
Student > Master 8 15%
Student > Bachelor 4 8%
Student > Doctoral Student 2 4%
Other 8 15%
Unknown 4 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 38%
Agricultural and Biological Sciences 16 31%
Computer Science 4 8%
Business, Management and Accounting 1 2%
Nursing and Health Professions 1 2%
Other 3 6%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 June 2019.
All research outputs
of 23,003,906 outputs
Outputs from Bioinformatics
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Outputs of similar age
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Outputs of similar age from Bioinformatics
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Altmetric has tracked 23,003,906 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,925 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 315,730 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.