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PhylomeDB v4: zooming into the plurality of evolutionary histories of a genome

Overview of attention for article published in Nucleic Acids Research, November 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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7 X users
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2 Wikipedia pages

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190 Mendeley
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Title
PhylomeDB v4: zooming into the plurality of evolutionary histories of a genome
Published in
Nucleic Acids Research, November 2013
DOI 10.1093/nar/gkt1177
Pubmed ID
Authors

Jaime Huerta-Cepas, Salvador Capella-Gutiérrez, Leszek P. Pryszcz, Marina Marcet-Houben, Toni Gabaldón

Abstract

Phylogenetic trees representing the evolutionary relationships of homologous genes are the entry point for many evolutionary analyses. For instance, the use of a phylogenetic tree can aid in the inference of orthology and paralogy relationships, and in the detection of relevant evolutionary events such as gene family expansions and contractions, horizontal gene transfer, recombination or incomplete lineage sorting. Similarly, given the plurality of evolutionary histories among genes encoded in a given genome, there is a need for the combined analysis of genome-wide collections of phylogenetic trees (phylomes). Here, we introduce a new release of PhylomeDB (http://phylomedb.org), a public repository of phylomes. Currently, PhylomeDB hosts 120 public phylomes, comprising >1.5 million maximum likelihood trees and multiple sequence alignments. In the current release, phylogenetic trees are annotated with taxonomic, protein-domain arrangement, functional and evolutionary information. PhylomeDB is also a major source for phylogeny-based predictions of orthology and paralogy, covering >10 million proteins across 1059 sequenced species. Here we describe newly implemented PhylomeDB features, and discuss a benchmark of the orthology predictions provided by the database, the impact of proteome updates and the use of the phylome approach in the analysis of newly sequenced genomes and transcriptomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 7 4%
United States 4 2%
Germany 3 2%
Brazil 2 1%
United Kingdom 2 1%
Chile 1 <1%
Estonia 1 <1%
Colombia 1 <1%
China 1 <1%
Other 1 <1%
Unknown 167 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 27%
Researcher 45 24%
Student > Master 21 11%
Student > Doctoral Student 11 6%
Professor 10 5%
Other 33 17%
Unknown 19 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 46%
Biochemistry, Genetics and Molecular Biology 47 25%
Computer Science 11 6%
Medicine and Dentistry 6 3%
Environmental Science 3 2%
Other 12 6%
Unknown 24 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 02 September 2016.
All research outputs
#4,949,373
of 25,837,817 outputs
Outputs from Nucleic Acids Research
#7,585
of 27,769 outputs
Outputs of similar age
#53,011
of 321,136 outputs
Outputs of similar age from Nucleic Acids Research
#111
of 383 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,769 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 72% 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 321,136 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 83% of its contemporaries.
We're also able to compare this research output to 383 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 71% of its contemporaries.