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Mendeley readers
Attention Score in Context
| Title |
Single-cell phenomics reveals intra-species variation of phenotypic noise in yeast
|
|---|---|
| Published in |
BMC Systems Biology, July 2013
|
| DOI | 10.1186/1752-0509-7-54 |
| Pubmed ID | |
| Authors |
Gaël Yvert, Shinsuke Ohnuki, Satoru Nogami, Yasutaka Imanaga, Steffen Fehrmann, Joseph Schacherer, Yoshikazu Ohya |
| Abstract |
Most quantitative measures of phenotypic traits represent macroscopic contributions of large numbers of cells. Yet, cells of a tissue do not behave similarly, and molecular studies on several organisms have shown that regulations can be highly stochastic, sometimes generating diversified cellular phenotypes within tissues. Phenotypic noise, defined here as trait variability among isogenic cells of the same type and sharing a common environment, has therefore received a lot of attention. Given the potential fitness advantage provided by phenotypic noise in fluctuating environments, the possibility that it is directly subjected to evolutionary selection is being considered. For selection to act, phenotypic noise must differ between contemporary genotypes. Whether this is the case or not remains, however, unclear because phenotypic noise has very rarely been quantified in natural populations. |
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 % |
|---|---|---|
| Unknown | 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Singapore | 1 | <1% |
| Belgium | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 106 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 27% |
| Researcher | 25 | 22% |
| Student > Master | 13 | 11% |
| Professor > Associate Professor | 9 | 8% |
| Student > Bachelor | 7 | 6% |
| Other | 23 | 20% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 49% |
| Biochemistry, Genetics and Molecular Biology | 25 | 22% |
| Engineering | 8 | 7% |
| Medicine and Dentistry | 4 | 4% |
| Immunology and Microbiology | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 8 | 7% |
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 04 July 2013.
All research outputs
#18,341,369
of 22,713,403 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#145,901
of 194,345 outputs
Outputs of similar age from BMC Systems Biology
#17
of 25 outputs
Altmetric has tracked 22,713,403 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% 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 194,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.