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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational prediction of human metabolic pathways from the complete human genome
|
|---|---|
| Published in |
Genome Biology, December 2004
|
| DOI | 10.1186/gb-2004-6-1-r2 |
| Pubmed ID | |
| Authors |
Pedro Romero, Jonathan Wagg, Michelle L Green, Dale Kaiser, Markus Krummenacker, Peter D Karp |
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 454 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 | 2% |
| Unknown | 403 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 112 | 25% |
| Student > Ph. D. Student | 98 | 22% |
| Student > Master | 44 | 10% |
| Student > Bachelor | 34 | 7% |
| Professor > Associate Professor | 23 | 5% |
| Other | 72 | 16% |
| Unknown | 71 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 159 | 35% |
| Biochemistry, Genetics and Molecular Biology | 70 | 15% |
| Computer Science | 51 | 11% |
| Medicine and Dentistry | 23 | 5% |
| Engineering | 17 | 4% |
| Other | 42 | 9% |
| Unknown | 92 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 January 2023.
All research outputs
#2,267,458
of 25,374,647 outputs
Outputs from Genome Biology
#1,870
of 4,467 outputs
Outputs of similar age
#5,477
of 152,306 outputs
Outputs of similar age from Genome Biology
#6
of 28 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% 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 58% 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 152,306 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 96% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.