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Rule-based spatial modeling with diffusing, geometrically constrained molecules

Overview of attention for article published in BMC Bioinformatics, June 2010
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
69 Mendeley
citeulike
2 CiteULike
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Title
Rule-based spatial modeling with diffusing, geometrically constrained molecules
Published in
BMC Bioinformatics, June 2010
DOI 10.1186/1471-2105-11-307
Pubmed ID
Authors

Gerd Gruenert, Bashar Ibrahim, Thorsten Lenser, Maiko Lohel, Thomas Hinze, Peter Dittrich

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 4%
United States 2 3%
Netherlands 1 1%
Austria 1 1%
Italy 1 1%
Japan 1 1%
United Kingdom 1 1%
Unknown 59 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 41%
Researcher 17 25%
Student > Doctoral Student 4 6%
Professor 4 6%
Professor > Associate Professor 3 4%
Other 7 10%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 41%
Physics and Astronomy 8 12%
Computer Science 7 10%
Biochemistry, Genetics and Molecular Biology 5 7%
Chemistry 4 6%
Other 12 17%
Unknown 5 7%
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 28 September 2014.
All research outputs
#8,065,009
of 24,226,848 outputs
Outputs from BMC Bioinformatics
#3,125
of 7,512 outputs
Outputs of similar age
#35,968
of 99,671 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 74 outputs
Altmetric has tracked 24,226,848 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 7,512 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 99,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.