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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamic modeling of yeast meiotic initiation
|
|---|---|
| Published in |
BMC Systems Biology, May 2013
|
| DOI | 10.1186/1752-0509-7-37 |
| Pubmed ID | |
| Authors |
Debjit Ray, Yongchun Su, Ping Ye |
| Abstract |
Meiosis is the sexual reproduction process common to eukaryotes. The diploid yeast Saccharomyces cerevisiae undergoes meiosis in sporulation medium to form four haploid spores. Initiation of the process is tightly controlled by intricate networks of positive and negative feedback loops. Intriguingly, expression of early meiotic proteins occurs within a narrow time window. Further, sporulation efficiency is strikingly different for yeast strains with distinct mutations or genetic backgrounds. To investigate signal transduction pathways that regulate transient protein expression and sporulation efficiency, we develop a mathematical model using ordinary differential equations. The model describes early meiotic events, particularly feedback mechanisms at the system level and phosphorylation of signaling molecules for regulating protein activities. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 14% |
| Switzerland | 1 | 7% |
| Unknown | 11 | 79% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 3 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 37% |
| Student > Ph. D. Student | 4 | 15% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 8 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 41% |
| Biochemistry, Genetics and Molecular Biology | 5 | 19% |
| Business, Management and Accounting | 1 | 4% |
| Computer Science | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 09 July 2013.
All research outputs
#3,708,130
of 22,708,120 outputs
Outputs from BMC Systems Biology
#107
of 1,142 outputs
Outputs of similar age
#31,935
of 192,823 outputs
Outputs of similar age from BMC Systems Biology
#3
of 18 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 90% 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 192,823 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 83% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.