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Overview of attention for article published in Genome Biology (Online Edition), January 2004
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

1 tweeter
4 Wikipedia pages


386 Dimensions

Readers on

418 Mendeley
15 CiteULike
1 Connotea
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Published in
Genome Biology (Online Edition), January 2004
DOI 10.1186/gb-2004-6-1-r2
Pubmed ID

Pedro Romero, Jonathan Wagg, Michelle L Green, Dale Kaiser, Markus Krummenacker, Peter D Karp


We present a computational pathway analysis of the human genome that assigns enzymes encoded therein to predicted metabolic pathways. Pathway assignments place genes in their larger biological context, and are a necessary first step toward quantitative modeling of metabolism.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 418 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 3%
Spain 5 1%
Germany 4 <1%
Netherlands 4 <1%
United Kingdom 4 <1%
Portugal 3 <1%
Canada 2 <1%
Switzerland 2 <1%
Luxembourg 2 <1%
Other 11 3%
Unknown 367 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 106 25%
Student > Ph. D. Student 97 23%
Student > Master 41 10%
Student > Bachelor 33 8%
Professor > Associate Professor 23 6%
Other 69 17%
Unknown 49 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 156 37%
Biochemistry, Genetics and Molecular Biology 62 15%
Computer Science 49 12%
Medicine and Dentistry 21 5%
Engineering 17 4%
Other 46 11%
Unknown 67 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 April 2019.
All research outputs
of 17,086,389 outputs
Outputs from Genome Biology (Online Edition)
of 3,558 outputs
Outputs of similar age
of 293,995 outputs
Outputs of similar age from Genome Biology (Online Edition)
of 6 outputs
Altmetric has tracked 17,086,389 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,558 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.4. This one is in the 25th percentile – i.e., 25% 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 293,995 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.