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Mendeley readers
Attention Score in Context
| Title |
Computationally efficient flux variability analysis
|
|---|---|
| Published in |
BMC Bioinformatics, September 2010
|
| DOI | 10.1186/1471-2105-11-489 |
| Pubmed ID | |
| Authors |
Steinn Gudmundsson, Ines Thiele |
Mendeley readers
The data shown below were compiled from readership statistics for 458 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 7 | 2% |
| United States | 7 | 2% |
| United Kingdom | 4 | <1% |
| France | 2 | <1% |
| Luxembourg | 2 | <1% |
| Iran, Islamic Republic of | 2 | <1% |
| Sweden | 2 | <1% |
| Chile | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 12 | 3% |
| Unknown | 418 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 119 | 26% |
| Student > Master | 90 | 20% |
| Researcher | 65 | 14% |
| Student > Bachelor | 40 | 9% |
| Student > Doctoral Student | 20 | 4% |
| Other | 47 | 10% |
| Unknown | 77 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 131 | 29% |
| Biochemistry, Genetics and Molecular Biology | 88 | 19% |
| Engineering | 36 | 8% |
| Computer Science | 34 | 7% |
| Chemical Engineering | 29 | 6% |
| Other | 47 | 10% |
| Unknown | 93 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 14 September 2021.
All research outputs
#3,468,517
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,110
of 7,763 outputs
Outputs of similar age
#13,745
of 110,304 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 55 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 85% 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 110,304 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 86% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.