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Estimating Cell Depth from Somatic Mutations

Overview of attention for article published in PLoS Computational Biology, May 2008
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  • Average Attention Score compared to outputs of the same age and source

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1 X user
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2 Wikipedia pages

Citations

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35 Dimensions

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84 Mendeley
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3 CiteULike
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Title
Estimating Cell Depth from Somatic Mutations
Published in
PLoS Computational Biology, May 2008
DOI 10.1371/journal.pcbi.1000058
Pubmed ID
Authors

Adam Wasserstrom, Dan Frumkin, Rivka Adar, Shalev Itzkovitz, Tomer Stern, Shai Kaplan, Gabi Shefer, Irena Shur, Lior Zangi, Yitzhak Reizel, Alon Harmelin, Yuval Dor, Nava Dekel, Yair Reisner, Dafna Benayahu, Eldad Tzahor, Eran Segal, Ehud Shapiro

Abstract

The depth of a cell of a multicellular organism is the number of cell divisions it underwent since the zygote, and knowing this basic cell property would help address fundamental problems in several areas of biology. At present, the depths of the vast majority of human and mouse cell types are unknown. Here, we show a method for estimating the depth of a cell by analyzing somatic mutations in its microsatellites, and provide to our knowledge for the first time reliable depth estimates for several cells types in mice. According to our estimates, the average depth of oocytes is 29, consistent with previous estimates. The average depth of B cells ranges from 34 to 79, linearly related to the mouse age, suggesting a rate of one cell division per day. In contrast, various types of adult stem cells underwent on average fewer cell divisions, supporting the notion that adult stem cells are relatively quiescent. Our method for depth estimation opens a window for revealing tissue turnover rates in animals, including humans, which has important implications for our knowledge of the body under physiological and pathological conditions.

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

Geographical breakdown

Country Count As %
United States 5 6%
Israel 2 2%
France 1 1%
Norway 1 1%
Portugal 1 1%
Sweden 1 1%
Denmark 1 1%
United Kingdom 1 1%
Unknown 71 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 27%
Student > Ph. D. Student 22 26%
Professor > Associate Professor 9 11%
Student > Master 9 11%
Professor 5 6%
Other 13 15%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 57%
Biochemistry, Genetics and Molecular Biology 9 11%
Medicine and Dentistry 6 7%
Computer Science 5 6%
Mathematics 2 2%
Other 9 11%
Unknown 5 6%
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 17 December 2022.
All research outputs
#7,968,340
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#5,297
of 8,964 outputs
Outputs of similar age
#29,489
of 87,449 outputs
Outputs of similar age from PLoS Computational Biology
#28
of 40 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 is in the 39th percentile – i.e., 39% 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 87,449 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 65% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.