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CPSP-tools – Exact and complete algorithms for high-throughput 3D lattice protein studies

Overview of attention for article published in BMC Bioinformatics, May 2008
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
21 Mendeley
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Title
CPSP-tools – Exact and complete algorithms for high-throughput 3D lattice protein studies
Published in
BMC Bioinformatics, May 2008
DOI 10.1186/1471-2105-9-230
Pubmed ID
Authors

Martin Mann, Sebastian Will, Rolf Backofen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Italy 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Student > Master 5 24%
Researcher 4 19%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Computer Science 6 29%
Agricultural and Biological Sciences 4 19%
Biochemistry, Genetics and Molecular Biology 3 14%
Physics and Astronomy 3 14%
Engineering 2 10%
Other 1 5%
Unknown 2 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 01 November 2023.
All research outputs
#7,593,064
of 23,148,322 outputs
Outputs from BMC Bioinformatics
#3,054
of 7,339 outputs
Outputs of similar age
#27,908
of 79,433 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 55 outputs
Altmetric has tracked 23,148,322 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 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 79,433 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.