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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Establishment of automated culture system for murine induced pluripotent stem cells
|
|---|---|
| Published in |
BMC Biotechnology, November 2012
|
| DOI | 10.1186/1472-6750-12-81 |
| Pubmed ID | |
| Authors |
Hiroyuki Koike, Koji Kubota, Keisuke Sekine, Takanori Takebe, Rie Ouchi, Yun-Wen Zheng, Yasuharu Ueno, Naoki Tanigawa, Hideki Taniguchi |
| Abstract |
Induced pluripotent stem (iPS) cells can differentiate into any cell type, which makes them an attractive resource in fields such as regenerative medicine, drug screening, or in vitro toxicology. The most important prerequisite for these industrial applications is stable supply and uniform quality of iPS cells. Variation in quality largely results from differences in handling skills between operators in laboratories. To minimize these differences, establishment of an automated iPS cell culture system is necessary. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Peru | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 39 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 8 | 20% |
| Student > Master | 5 | 12% |
| Other | 3 | 7% |
| Professor > Associate Professor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 37% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Engineering | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Immunology and Microbiology | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 8 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 08 December 2014.
All research outputs
#3,081,458
of 22,684,168 outputs
Outputs from BMC Biotechnology
#137
of 935 outputs
Outputs of similar age
#23,357
of 183,394 outputs
Outputs of similar age from BMC Biotechnology
#2
of 15 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 85% 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 183,394 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 87% of its contemporaries.
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 has done well, scoring higher than 86% of its contemporaries.