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Mendeley readers
Attention Score in Context
Title |
The conservation and evolutionary modularity of metabolism
|
---|---|
Published in |
Genome Biology, June 2009
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DOI | 10.1186/gb-2009-10-6-r63 |
Pubmed ID | |
Authors |
José M Peregrín-Alvarez, Chris Sanford, John Parkinson |
Abstract |
Cellular metabolism is a fundamental biological system consisting of myriads of enzymatic reactions that together fulfill the basic requirements of life. The recent availability of vast amounts of sequence data from diverse sets of organisms provides an opportunity to systematically examine metabolism from a comparative perspective. Here we supplement existing genome and protein resources with partial genome datasets derived from 193 eukaryotes to present a comprehensive survey of the conservation of metabolism across 26 taxa representing the three domains of life. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 2% |
United States | 4 | 1% |
Netherlands | 2 | <1% |
Denmark | 2 | <1% |
Brazil | 2 | <1% |
France | 1 | <1% |
Hong Kong | 1 | <1% |
Switzerland | 1 | <1% |
Australia | 1 | <1% |
Other | 6 | 2% |
Unknown | 273 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 76 | 26% |
Researcher | 55 | 18% |
Student > Master | 40 | 13% |
Student > Bachelor | 28 | 9% |
Professor > Associate Professor | 19 | 6% |
Other | 38 | 13% |
Unknown | 42 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 114 | 38% |
Biochemistry, Genetics and Molecular Biology | 63 | 21% |
Computer Science | 12 | 4% |
Chemistry | 8 | 3% |
Environmental Science | 7 | 2% |
Other | 39 | 13% |
Unknown | 55 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 21 March 2016.
All research outputs
#2,631,882
of 25,374,917 outputs
Outputs from Genome Biology
#2,092
of 4,467 outputs
Outputs of similar age
#9,324
of 122,962 outputs
Outputs of similar age from Genome Biology
#3
of 27 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 53% 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 122,962 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 92% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.