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.
Mendeley readers
Attention Score in Context
| Title |
The Stem Cell Population of the Human Colon Crypt: Analysis via Methylation Patterns
|
|---|---|
| Published in |
PLoS Computational Biology, March 2007
|
| DOI | 10.1371/journal.pcbi.0030028 |
| Pubmed ID | |
| Authors |
Pierre Nicolas, Kyoung-Mee Kim, Darryl Shibata, Simon Tavaré |
| Abstract |
The analysis of methylation patterns is a promising approach to investigate the genealogy of cell populations in an organism. In a stem cell-niche scenario, sampled methylation patterns are the stochastic outcome of a complex interplay between niche structural features such as the number of stem cells within a niche and the niche succession time, the methylation/demethylation process, and the randomness due to sampling. As a consequence, methylation pattern studies can reveal niche characteristics but also require appropriate statistical methods. The analysis of methylation patterns sampled from colon crypts is a prototype of such a study. Previous analyses were based on forward simulation of the cell content of the whole crypt and subsequent comparisons between simulated and experimental data using a few statistics as a proxy to summarize the data. In this paper we develop a more powerful method to analyze these data based on coalescent modelling and Bayesian inference. Results support a scenario where the colon crypt is maintained by a high number of stem cells; the posterior indicates a number greater than eight and the posterior mode is between 15 and 20. The results also provide further evidence for synergistic effects in the methylation/demethylation process that could for the first time be quantitatively assessed through their long-term consequences such as the coexistence of hypermethylated and hypomethylated patterns in the same colon crypt. |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 8% |
| United Kingdom | 3 | 3% |
| France | 1 | 1% |
| Ukraine | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 75 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 35% |
| Researcher | 23 | 26% |
| Professor > Associate Professor | 7 | 8% |
| Student > Master | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 5 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 43% |
| Biochemistry, Genetics and Molecular Biology | 11 | 13% |
| Mathematics | 7 | 8% |
| Medicine and Dentistry | 7 | 8% |
| Engineering | 6 | 7% |
| Other | 11 | 13% |
| Unknown | 8 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 October 2022.
All research outputs
#3,342,504
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#2,954
of 8,958 outputs
Outputs of similar age
#9,124
of 90,410 outputs
Outputs of similar age from PLoS Computational Biology
#6
of 24 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,958 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 gotten more attention than average, scoring higher than 66% 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 90,410 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 89% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.