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Mendeley readers
Attention Score in Context
| Title |
Context-Specific Metabolic Networks Are Consistent with Experiments
|
|---|---|
| Published in |
PLoS Computational Biology, May 2008
|
| DOI | 10.1371/journal.pcbi.1000082 |
| Pubmed ID | |
| Authors |
Scott A. Becker, Bernhard O. Palsson |
Mendeley readers
The data shown below were compiled from readership statistics for 682 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 26 | 4% |
| Germany | 3 | <1% |
| Portugal | 2 | <1% |
| Luxembourg | 2 | <1% |
| United Kingdom | 2 | <1% |
| Sweden | 2 | <1% |
| Ethiopia | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Other | 16 | 2% |
| Unknown | 626 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 187 | 27% |
| Researcher | 115 | 17% |
| Student > Master | 102 | 15% |
| Student > Bachelor | 46 | 7% |
| Student > Doctoral Student | 36 | 5% |
| Other | 92 | 13% |
| Unknown | 104 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 241 | 35% |
| Biochemistry, Genetics and Molecular Biology | 117 | 17% |
| Computer Science | 62 | 9% |
| Engineering | 62 | 9% |
| Chemical Engineering | 24 | 4% |
| Other | 59 | 9% |
| Unknown | 117 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 25 February 2020.
All research outputs
#4,369,297
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#3,583
of 8,960 outputs
Outputs of similar age
#15,510
of 97,819 outputs
Outputs of similar age from PLoS Computational Biology
#13
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 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 gotten more attention than average, scoring higher than 59% 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 97,819 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.