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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Auxin-inducible protein depletion system in fission yeast
|
|---|---|
| Published in |
BMC Molecular and Cell Biology, February 2011
|
| DOI | 10.1186/1471-2121-12-8 |
| Pubmed ID | |
| Authors |
Mai Kanke, Kohei Nishimura, Masato Kanemaki, Tatsuo Kakimoto, Tatsuro S Takahashi, Takuro Nakagawa, Hisao Masukata |
| Abstract |
Inducible inactivation of a protein is a powerful approach for analysis of its function within cells. Fission yeast is a useful model for studying the fundamental mechanisms such as chromosome maintenance and cell cycle. However, previously published strategies for protein-depletion are successful only for some proteins in some specific conditions and still do not achieve efficient depletion to cause acute phenotypes such as immediate cell cycle arrest. The aim of this work was to construct a useful and powerful protein-depletion system in Shizosaccaromyces pombe. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 3 | 1% |
| Italy | 2 | <1% |
| France | 1 | <1% |
| Belgium | 1 | <1% |
| Switzerland | 1 | <1% |
| Japan | 1 | <1% |
| Estonia | 1 | <1% |
| Unknown | 227 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 23% |
| Researcher | 52 | 21% |
| Student > Master | 39 | 16% |
| Student > Bachelor | 28 | 12% |
| Professor > Associate Professor | 13 | 5% |
| Other | 28 | 12% |
| Unknown | 27 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 106 | 44% |
| Biochemistry, Genetics and Molecular Biology | 86 | 36% |
| Chemistry | 8 | 3% |
| Medicine and Dentistry | 4 | 2% |
| Environmental Science | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 32 | 13% |
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 17 September 2014.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from BMC Molecular and Cell Biology
#935
of 1,233 outputs
Outputs of similar age
#175,167
of 195,658 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#15
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 14th percentile – i.e., 14% 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 195,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.