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X Demographics
Mendeley readers
Attention Score in Context
| Title |
YODA: Software to facilitate high-throughput analysis of chronological life span, growth rate, and survival in budding yeast
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-141 |
| Pubmed ID | |
| Authors |
Brady Olsen, Christopher J Murakami, Matt Kaeberlein |
| Abstract |
The budding yeast Saccharomyces cerevisiae is one of the most widely studied model organisms in aging-related science. Although several genetic modifiers of yeast longevity have been identified, the utility of this system for longevity studies has been limited by a lack of high-throughput assays for quantitatively measuring survival of individual yeast cells during aging. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| France | 1 | 1% |
| Spain | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 74 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 27% |
| Student > Ph. D. Student | 20 | 25% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Other | 5 | 6% |
| Other | 16 | 20% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 51% |
| Biochemistry, Genetics and Molecular Biology | 23 | 28% |
| Engineering | 2 | 2% |
| Business, Management and Accounting | 1 | 1% |
| Nursing and Health Professions | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 9 | 11% |
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 25 September 2012.
All research outputs
#18,948,255
of 24,149,630 outputs
Outputs from BMC Bioinformatics
#6,135
of 7,507 outputs
Outputs of similar age
#98,634
of 109,702 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 63 outputs
Altmetric has tracked 24,149,630 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,507 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 13th percentile – i.e., 13% 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 109,702 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.