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Design Principles for Ligand-Sensing, Conformation-Switching Ribozymes

Overview of attention for article published in PLoS Computational Biology, December 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
1 CiteULike
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Title
Design Principles for Ligand-Sensing, Conformation-Switching Ribozymes
Published in
PLoS Computational Biology, December 2009
DOI 10.1371/journal.pcbi.1000620
Pubmed ID
Authors

Xi Chen, Andrew D. Ellington

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 8%
United Kingdom 2 2%
India 1 <1%
Indonesia 1 <1%
Turkey 1 <1%
Mexico 1 <1%
Canada 1 <1%
Spain 1 <1%
China 1 <1%
Other 0 0%
Unknown 103 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 31%
Researcher 30 25%
Professor > Associate Professor 11 9%
Student > Master 10 8%
Student > Bachelor 7 6%
Other 17 14%
Unknown 9 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 43%
Biochemistry, Genetics and Molecular Biology 20 16%
Chemistry 19 16%
Engineering 9 7%
Computer Science 4 3%
Other 6 5%
Unknown 12 10%
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 08 August 2017.
All research outputs
#8,713,411
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#5,683
of 9,043 outputs
Outputs of similar age
#51,760
of 174,955 outputs
Outputs of similar age from PLoS Computational Biology
#35
of 58 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% 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 174,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.