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Evolution of Networks for Body Plan Patterning; Interplay of Modularity, Robustness and Evolvability

Overview of attention for article published in PLoS Computational Biology, October 2011
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
176 Mendeley
citeulike
9 CiteULike
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Title
Evolution of Networks for Body Plan Patterning; Interplay of Modularity, Robustness and Evolvability
Published in
PLoS Computational Biology, October 2011
DOI 10.1371/journal.pcbi.1002208
Pubmed ID
Authors

Kirsten H. ten Tusscher, Paulien Hogeweg

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Argentina 2 1%
United Kingdom 2 1%
Nepal 1 <1%
Brazil 1 <1%
France 1 <1%
Spain 1 <1%
Korea, Republic of 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 159 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 27%
Researcher 33 19%
Student > Master 16 9%
Professor > Associate Professor 14 8%
Student > Bachelor 13 7%
Other 31 18%
Unknown 21 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 54%
Biochemistry, Genetics and Molecular Biology 18 10%
Computer Science 12 7%
Physics and Astronomy 10 6%
Earth and Planetary Sciences 4 2%
Other 14 8%
Unknown 23 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 January 2013.
All research outputs
#17,113,100
of 25,837,817 outputs
Outputs from PLoS Computational Biology
#7,286
of 9,035 outputs
Outputs of similar age
#102,178
of 148,973 outputs
Outputs of similar age from PLoS Computational Biology
#82
of 126 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,035 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 16th percentile – i.e., 16% 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 148,973 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.