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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A U-system approach for predicting metabolic behaviors and responses based on an alleged metabolic reaction network
|
|---|---|
| Published in |
BMC Systems Biology, December 2014
|
| DOI | 10.1186/1752-0509-8-s5-s4 |
| Pubmed ID | |
| Authors |
Kansuporn Sriyudthsak, Yuji Sawada, Yukako Chiba, Yui Yamashita, Shigehiko Kanaya, Hitoshi Onouchi, Toru Fujiwara, Satoshi Naito, Ebernard O Voit, Fumihide Shiraishi, Masami Yokota Hirai |
| Abstract |
Progress in systems biology offers sophisticated approaches toward a comprehensive understanding of biological systems. Yet, computational analyses are held back due to difficulties in determining suitable model parameter values from experimental data which naturally are subject to biological fluctuations. The data may also be corrupted by experimental uncertainties and sometimes do not contain all information regarding variables that cannot be measured for technical reasons. |
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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| United States | 1 | 4% |
| Singapore | 1 | 4% |
| Unknown | 25 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 29% |
| Professor > Associate Professor | 4 | 14% |
| Student > Master | 4 | 14% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 50% |
| Computer Science | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Nursing and Health Professions | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 January 2015.
All research outputs
#20,742,744
of 23,344,526 outputs
Outputs from BMC Systems Biology
#1,015
of 1,143 outputs
Outputs of similar age
#302,162
of 359,566 outputs
Outputs of similar age from BMC Systems Biology
#41
of 50 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% 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 359,566 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.