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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Method for High-Throughput Analysis of Chronological Aging in Schizosaccharomyces pombe.
|
|---|---|
| Chapter number | 7 |
| Book title |
Chemical Biology
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2269-7_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2268-0, 978-1-4939-2269-7
|
| Authors |
Jessica Stephan, Ann E Ehrenhofer-Murray, Ann E. Ehrenhofer-Murray, Stephan, Jessica, Ehrenhofer-Murray, Ann E. |
| Abstract |
The measurement of chronological life span (CLS) in Schizosaccharomyces pombe is traditionally performed by plating back aliquots of aging liquid cultures on solid medium and counting the number of colony-forming units (CFU). However, this method is labor and cost intensive and therefore not amenable to high-throughput screening. Here, we describe a simple method for CLS measurement using aging minicultures in microtiter plates and batch plate-back for the determination of culture viability. This assay can be used to screen a large number of strains, conditions, or compounds in parallel for effects on aging. |
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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 11% |
| Japan | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 44% |
| Professor | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Student > Master | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 33% |
| Agricultural and Biological Sciences | 3 | 33% |
| Decision Sciences | 1 | 11% |
| Unknown | 2 | 22% |
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 22 September 2015.
All research outputs
#15,603,033
of 23,198,445 outputs
Outputs from Methods in molecular biology
#5,453
of 13,301 outputs
Outputs of similar age
#210,971
of 354,966 outputs
Outputs of similar age from Methods in molecular biology
#350
of 1,002 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,301 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 354,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,002 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.