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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Concise Review: Understanding Clonal Dynamics in Homeostasis and Injury Through Multicolor Lineage Tracing
|
|---|---|
| Published in |
Stem Cells, November 2014
|
| DOI | 10.1002/stem.1804 |
| Pubmed ID | |
| Authors |
Edwige Roy, Zoltan Neufeld, Jean Livet, Kiarash Khosrotehrani |
| Abstract |
Lineage tracing is an essential tool to study stem cell fate. Although traditional lineage tracing techniques have considerably advanced our understanding of stem cell behaviour, they pose significant limitations for identification and longitudinal tracking of the progeny of individual stem cells, to compare their behaviours. This is of importance given the well-established heterogeneity among stem cells both in terms of potentialities and proliferative capacities. The recent development of multicolour genetic reporters addressable to specific cell populations largely overcomes these issues. These new "rainbow" technologies provide increased resolution in clonal identification and offer the possibility to study the relative distribution, contacts, tiled arrangement and competitive interactions among cells or groups of cells of the same type. Stem Cells 2014. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 23% |
| Researcher | 18 | 20% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 9 | 10% |
| Professor > Associate Professor | 6 | 7% |
| Other | 14 | 15% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 28 | 30% |
| Agricultural and Biological Sciences | 28 | 30% |
| Medicine and Dentistry | 9 | 10% |
| Neuroscience | 3 | 3% |
| Chemistry | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 15 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 August 2014.
All research outputs
#18,376,056
of 22,760,687 outputs
Outputs from Stem Cells
#3,578
of 3,897 outputs
Outputs of similar age
#262,124
of 361,926 outputs
Outputs of similar age from Stem Cells
#53
of 65 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,897 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 2nd percentile – i.e., 2% 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 361,926 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.