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Mendeley readers
Attention Score in Context
| Title |
Achieving Optimal Growth through Product Feedback Inhibition in Metabolism
|
|---|---|
| Published in |
PLoS Computational Biology, June 2010
|
| DOI | 10.1371/journal.pcbi.1000802 |
| Pubmed ID | |
| Authors |
Sidhartha Goyal, Jie Yuan, Thomas Chen, Joshua D. Rabinowitz, Ned S. Wingreen |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Germany | 2 | 1% |
| Netherlands | 2 | 1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| France | 1 | <1% |
| China | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 122 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 25% |
| Student > Ph. D. Student | 34 | 25% |
| Student > Master | 11 | 8% |
| Professor | 8 | 6% |
| Student > Bachelor | 7 | 5% |
| Other | 23 | 17% |
| Unknown | 20 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 41% |
| Biochemistry, Genetics and Molecular Biology | 25 | 18% |
| Physics and Astronomy | 7 | 5% |
| Chemistry | 4 | 3% |
| Engineering | 4 | 3% |
| Other | 13 | 9% |
| Unknown | 28 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 05 January 2023.
All research outputs
#6,740,087
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#4,591
of 9,043 outputs
Outputs of similar age
#31,443
of 106,161 outputs
Outputs of similar age from PLoS Computational Biology
#25
of 60 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 49th percentile – i.e., 49% 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 106,161 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 69% of its contemporaries.
We're also able to compare this research output to 60 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 58% of its contemporaries.