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eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences

Overview of attention for article published in Nucleic Acids Research, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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8 X users
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1 patent
wikipedia
1 Wikipedia page

Citations

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1658 Dimensions

Readers on

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1228 Mendeley
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Title
eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences
Published in
Nucleic Acids Research, November 2015
DOI 10.1093/nar/gkv1248
Pubmed ID
Authors

Jaime Huerta-Cepas, Damian Szklarczyk, Kristoffer Forslund, Helen Cook, Davide Heller, Mathias C. Walter, Thomas Rattei, Daniel R. Mende, Shinichi Sunagawa, Michael Kuhn, Lars Juhl Jensen, Christian von Mering, Peer Bork

Abstract

eggNOG is a public resource that provides Orthologous Groups (OGs) of proteins at different taxonomic levels, each with integrated and summarized functional annotations. Developments since the latest public release include changes to the algorithm for creating OGs across taxonomic levels, making nested groups hierarchically consistent. This allows for a better propagation of functional terms across nested OGs and led to the novel annotation of 95 890 previously uncharacterized OGs, increasing overall annotation coverage from 67% to 72%. The functional annotations of OGs have been expanded to also provide Gene Ontology terms, KEGG pathways and SMART/Pfam domains for each group. Moreover, eggNOG now provides pairwise orthology relationships within OGs based on analysis of phylogenetic trees. We have also incorporated a framework for quickly mapping novel sequences to OGs based on precomputed HMM profiles. Finally, eggNOG version 4.5 incorporates a novel data set spanning 2605 viral OGs, covering 5228 proteins from 352 viral proteomes. All data are accessible for bulk downloading, as a web-service, and through a completely redesigned web interface. The new access points provide faster searches and a number of new browsing and visualization capabilities, facilitating the needs of both experts and less experienced users. eggNOG v4.5 is available at http://eggnog.embl.de.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 1,228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 <1%
United States 5 <1%
Spain 3 <1%
United Kingdom 3 <1%
France 2 <1%
Australia 2 <1%
Brazil 2 <1%
Italy 1 <1%
Korea, Republic of 1 <1%
Other 9 <1%
Unknown 1194 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 305 25%
Researcher 229 19%
Student > Master 185 15%
Student > Bachelor 130 11%
Student > Doctoral Student 50 4%
Other 132 11%
Unknown 197 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 441 36%
Biochemistry, Genetics and Molecular Biology 311 25%
Immunology and Microbiology 56 5%
Computer Science 48 4%
Environmental Science 42 3%
Other 81 7%
Unknown 249 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 24 June 2021.
All research outputs
#3,124,126
of 22,833,393 outputs
Outputs from Nucleic Acids Research
#4,223
of 26,323 outputs
Outputs of similar age
#54,471
of 386,433 outputs
Outputs of similar age from Nucleic Acids Research
#125
of 414 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,323 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 83% 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 386,433 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 85% of its contemporaries.
We're also able to compare this research output to 414 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 69% of its contemporaries.