↓ Skip to main content

A Computational Clonal Analysis of the Developing Mouse Limb Bud

Overview of attention for article published in PLoS Computational Biology, February 2011
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
6 X users
f1000
1 research highlight platform

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
93 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Computational Clonal Analysis of the Developing Mouse Limb Bud
Published in
PLoS Computational Biology, February 2011
DOI 10.1371/journal.pcbi.1001071
Pubmed ID
Authors

Luciano Marcon, Carlos G. Arqués, Miguel S. Torres, James Sharpe

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 3%
United Kingdom 2 2%
Brazil 1 1%
Switzerland 1 1%
France 1 1%
United States 1 1%
Unknown 84 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 35%
Student > Ph. D. Student 18 19%
Student > Master 10 11%
Student > Doctoral Student 7 8%
Professor > Associate Professor 5 5%
Other 15 16%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 56%
Biochemistry, Genetics and Molecular Biology 12 13%
Engineering 9 10%
Computer Science 4 4%
Physics and Astronomy 2 2%
Other 4 4%
Unknown 10 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 July 2017.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#4,994
of 8,960 outputs
Outputs of similar age
#50,816
of 194,964 outputs
Outputs of similar age from PLoS Computational Biology
#24
of 59 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,960 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 43rd percentile – i.e., 43% 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 194,964 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.