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Genomic Variability within an Organism Exposes Its Cell Lineage Tree

Overview of attention for article published in PLoS Computational Biology, October 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
2 blogs
twitter
1 X user
patent
1 patent
wikipedia
2 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
137 Dimensions

Readers on

mendeley
197 Mendeley
citeulike
11 CiteULike
connotea
1 Connotea
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Title
Genomic Variability within an Organism Exposes Its Cell Lineage Tree
Published in
PLoS Computational Biology, October 2005
DOI 10.1371/journal.pcbi.0010050
Pubmed ID
Authors

Dan Frumkin, Adam Wasserstrom, Shai Kaplan, Uriel Feige, Ehud Shapiro

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 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
Germany 2 1%
Sweden 2 1%
United Kingdom 2 1%
Austria 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Israel 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 177 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 29%
Researcher 46 23%
Student > Master 20 10%
Professor > Associate Professor 17 9%
Student > Bachelor 12 6%
Other 26 13%
Unknown 19 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 93 47%
Biochemistry, Genetics and Molecular Biology 39 20%
Computer Science 11 6%
Medicine and Dentistry 7 4%
Neuroscience 6 3%
Other 18 9%
Unknown 23 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 19 December 2022.
All research outputs
#1,802,832
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#1,577
of 8,964 outputs
Outputs of similar age
#2,895
of 75,602 outputs
Outputs of similar age from PLoS Computational Biology
#4
of 21 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 82% 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 75,602 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.