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Mendeley readers
Attention Score in Context
| Title |
MANET: tracing evolution of protein architecture in metabolic networks
|
|---|---|
| Published in |
BMC Bioinformatics, July 2006
|
| DOI | 10.1186/1471-2105-7-351 |
| Pubmed ID | |
| Authors |
Hee Shin Kim, Jay E Mittenthal, Gustavo Caetano-Anollés |
| Abstract |
Cellular metabolism can be characterized by networks of enzymatic reactions and transport processes capable of supporting cellular life. Our aim is to find evolutionary patterns and processes embedded in the architecture and function of modern metabolism, using information derived from structural genomics. |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| Portugal | 2 | 3% |
| Brazil | 2 | 3% |
| Indonesia | 1 | 1% |
| Chile | 1 | 1% |
| Germany | 1 | 1% |
| Austria | 1 | 1% |
| Mexico | 1 | 1% |
| United States | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 58 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 28% |
| Researcher | 13 | 18% |
| Student > Bachelor | 9 | 13% |
| Professor > Associate Professor | 7 | 10% |
| Student > Doctoral Student | 5 | 7% |
| Other | 13 | 18% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 48% |
| Computer Science | 15 | 21% |
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Engineering | 3 | 4% |
| Chemistry | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 4 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 January 2023.
All research outputs
#7,616,848
of 23,223,705 outputs
Outputs from BMC Bioinformatics
#3,059
of 7,358 outputs
Outputs of similar age
#23,043
of 66,142 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 37 outputs
Altmetric has tracked 23,223,705 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,358 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 66,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.