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Mendeley readers
Attention Score in Context
| Title |
Predicting the points of interaction of small molecules in the NF-κB pathway
|
|---|---|
| Published in |
BMC Systems Biology, February 2011
|
| DOI | 10.1186/1752-0509-5-32 |
| Pubmed ID | |
| Authors |
Yogendra Patel, Catherine A Heyward, Michael RH White, Douglas B Kell |
| Abstract |
The similarity property principle has been used extensively in drug discovery to identify small compounds that interact with specific drug targets. Here we show it can be applied to identify the interactions of small molecules within the NF-κB signalling pathway. |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 5% |
| France | 1 | 5% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Student > Ph. D. Student | 5 | 26% |
| Professor | 3 | 16% |
| Student > Master | 3 | 16% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 47% |
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Mathematics | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 1 | 5% |
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 14 March 2011.
All research outputs
#5,562,875
of 22,651,245 outputs
Outputs from BMC Systems Biology
#179
of 1,142 outputs
Outputs of similar age
#29,900
of 106,633 outputs
Outputs of similar age from BMC Systems Biology
#3
of 17 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. Compared to these this one has done well and is in the 75th 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 well, scoring higher than 84% 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 106,633 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 71% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.