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eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses

Overview of attention for article published in Nucleic Acids Research, November 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
3 blogs
twitter
78 X users
patent
3 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
1580 Mendeley
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Title
eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
Published in
Nucleic Acids Research, November 2018
DOI 10.1093/nar/gky1085
Pubmed ID
Authors

Jaime Huerta-Cepas, Damian Szklarczyk, Davide Heller, Ana Hernández-Plaza, Sofia K Forslund, Helen Cook, Daniel R Mende, Ivica Letunic, Thomas Rattei, Lars J Jensen, Christian von Mering, Peer Bork

X Demographics

X Demographics

The data shown below were collected from the profiles of 78 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 1,580 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1580 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 316 20%
Student > Master 208 13%
Researcher 207 13%
Student > Bachelor 164 10%
Student > Doctoral Student 87 6%
Other 173 11%
Unknown 425 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 435 28%
Agricultural and Biological Sciences 323 20%
Immunology and Microbiology 74 5%
Environmental Science 57 4%
Computer Science 32 2%
Other 162 10%
Unknown 497 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 October 2023.
All research outputs
#677,262
of 25,837,817 outputs
Outputs from Nucleic Acids Research
#254
of 27,769 outputs
Outputs of similar age
#14,065
of 359,242 outputs
Outputs of similar age from Nucleic Acids Research
#7
of 366 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% 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 done particularly well, scoring higher than 99% 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 359,242 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 95% of its contemporaries.
We're also able to compare this research output to 366 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.