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Hit identification of IKKβ natural product inhibitor

Overview of attention for article published in BMC Pharmacology and Toxicology, January 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Hit identification of IKKβ natural product inhibitor
Published in
BMC Pharmacology and Toxicology, January 2013
DOI 10.1186/2050-6511-14-3
Pubmed ID
Authors

Chung-Hang Leung, Daniel Shiu-Hin Chan, Ying-Wei Li, Wang-Fun Fong, Dik-Lung Ma

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Student > Bachelor 4 15%
Professor > Associate Professor 4 15%
Professor 2 8%
Researcher 2 8%
Other 2 8%
Unknown 5 19%
Readers by discipline Count As %
Chemistry 10 38%
Agricultural and Biological Sciences 3 12%
Biochemistry, Genetics and Molecular Biology 2 8%
Computer Science 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 8%
Unknown 7 27%
Attention Score in Context

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 24 June 2016.
All research outputs
#7,574,799
of 23,099,576 outputs
Outputs from BMC Pharmacology and Toxicology
#142
of 446 outputs
Outputs of similar age
#85,456
of 283,422 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#4
of 14 outputs
Altmetric has tracked 23,099,576 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 446 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 63% 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 283,422 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.