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Modelling biological processes by using a probabilistic P system software

Overview of attention for article published in Natural Computing, June 2003
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 158)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

policy
1 policy source
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
25 Mendeley
Title
Modelling biological processes by using a probabilistic P system software
Published in
Natural Computing, June 2003
DOI 10.1023/a:1024943605864
Authors

Ioan I. Ardelean, Matteo Cavaliere

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 12%
France 2 8%
Canada 1 4%
Spain 1 4%
Poland 1 4%
Unknown 17 68%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Researcher 6 24%
Student > Master 6 24%
Professor 2 8%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 10 40%
Agricultural and Biological Sciences 8 32%
Engineering 2 8%
Social Sciences 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 July 2013.
All research outputs
#4,191,860
of 25,374,647 outputs
Outputs from Natural Computing
#16
of 158 outputs
Outputs of similar age
#7,731
of 53,649 outputs
Outputs of similar age from Natural Computing
#1
of 1 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 158 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 89% 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 53,649 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them