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Mendeley readers
Attention Score in Context
| Title |
A formal model for analyzing drug combination effects and its application in TNF-α-induced NFκB pathway
|
|---|---|
| Published in |
BMC Systems Biology, April 2010
|
| DOI | 10.1186/1752-0509-4-50 |
| Pubmed ID | |
| Authors |
Han Yan, Bo Zhang, Shao Li, Qianchuan Zhao |
| Abstract |
Drug combination therapy is commonly used in clinical practice. Many methods including Bliss independence method have been proposed for drug combination design based on simulations models or experiments. Although Bliss independence method can help to solve the drug combination design problem when there are only a small number of combinations, as the number of combinations increases, it may not be scalable. Exploration of system structure becomes important to reduce the complexity of the design problem. |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Germany | 1 | <1% |
| Nigeria | 1 | <1% |
| Italy | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 105 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 25% |
| Student > Ph. D. Student | 28 | 24% |
| Student > Master | 13 | 11% |
| Student > Doctoral Student | 8 | 7% |
| Professor > Associate Professor | 8 | 7% |
| Other | 23 | 19% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 34% |
| Medicine and Dentistry | 22 | 19% |
| Biochemistry, Genetics and Molecular Biology | 15 | 13% |
| Chemistry | 7 | 6% |
| Computer Science | 6 | 5% |
| Other | 13 | 11% |
| Unknown | 15 | 13% |
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 31 January 2012.
All research outputs
#7,445,163
of 22,759,618 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#34,339
of 95,254 outputs
Outputs of similar age from BMC Systems Biology
#9
of 25 outputs
Altmetric has tracked 22,759,618 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 95,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.