↓ Skip to main content

A First Look at ARFome: Dual-Coding Genes in Mammalian Genomes

Overview of attention for article published in PLoS Computational Biology, May 2007
Altmetric Badge

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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
facebook
4 Facebook pages

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
76 Mendeley
connotea
4 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A First Look at ARFome: Dual-Coding Genes in Mammalian Genomes
Published in
PLoS Computational Biology, May 2007
DOI 10.1371/journal.pcbi.0030091
Pubmed ID
Authors

Wen-Yu Chung, Samir Wadhawan, Radek Szklarczyk, Sergei Kosakovsky Pond, Anton Nekrutenko

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Spain 1 1%
Unknown 72 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 25%
Student > Ph. D. Student 14 18%
Professor 10 13%
Student > Master 9 12%
Student > Bachelor 7 9%
Other 13 17%
Unknown 4 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 47%
Biochemistry, Genetics and Molecular Biology 21 28%
Chemistry 3 4%
Mathematics 2 3%
Immunology and Microbiology 2 3%
Other 5 7%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 January 2024.
All research outputs
#2,439,653
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#2,194
of 8,964 outputs
Outputs of similar age
#5,600
of 84,416 outputs
Outputs of similar age from PLoS Computational Biology
#6
of 30 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 75% 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 84,416 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 93% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.