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Mendeley readers
Attention Score in Context
| Title |
Systematic quantitative characterization of cellular responses induced by multiple signals
|
|---|---|
| Published in |
BMC Systems Biology, May 2011
|
| DOI | 10.1186/1752-0509-5-88 |
| Pubmed ID | |
| Authors |
Ibrahim Al-Shyoukh, Fuqu Yu, Jiaying Feng, Karen Yan, Steven Dubinett, Chih-Ming Ho, Jeff S Shamma, Ren Sun |
| Abstract |
Cells constantly sense many internal and environmental signals and respond through their complex signaling network, leading to particular biological outcomes. However, a systematic characterization and optimization of multi-signal responses remains a pressing challenge to traditional experimental approaches due to the arising complexity associated with the increasing number of signals and their intensities. |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 32% |
| Researcher | 11 | 18% |
| Professor > Associate Professor | 8 | 13% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 30% |
| Medicine and Dentistry | 7 | 12% |
| Engineering | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Computer Science | 5 | 8% |
| Other | 9 | 15% |
| Unknown | 10 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 19 November 2021.
All research outputs
#2,932,420
of 22,751,628 outputs
Outputs from BMC Systems Biology
#83
of 1,142 outputs
Outputs of similar age
#14,256
of 111,153 outputs
Outputs of similar age from BMC Systems Biology
#2
of 27 outputs
Altmetric has tracked 22,751,628 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 92% 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 111,153 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 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.