You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Protein Kinase C Regulates Human Pluripotent Stem Cell Self-Renewal
|
---|---|
Published in |
PLOS ONE, January 2013
|
DOI | 10.1371/journal.pone.0054122 |
Pubmed ID | |
Authors |
Masaki Kinehara, Suguru Kawamura, Daiki Tateyama, Mika Suga, Hiroko Matsumura, Sumiyo Mimura, Noriko Hirayama, Mitsuhi Hirata, Kozue Uchio-Yamada, Arihiro Kohara, Kana Yanagihara, Miho K. Furue |
Abstract |
The self-renewal of human pluripotent stem (hPS) cells including embryonic stem and induced pluripotent stem cells have been reported to be supported by various signal pathways. Among them, fibroblast growth factor-2 (FGF-2) appears indispensable to maintain self-renewal of hPS cells. However, downstream signaling of FGF-2 has not yet been clearly understood in hPS cells. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 5 | 63% |
United States | 2 | 25% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 88% |
Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
France | 1 | <1% |
Czechia | 1 | <1% |
China | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Unknown | 100 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 28% |
Researcher | 21 | 20% |
Professor > Associate Professor | 12 | 11% |
Student > Master | 12 | 11% |
Other | 7 | 7% |
Other | 16 | 15% |
Unknown | 9 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 47 | 44% |
Biochemistry, Genetics and Molecular Biology | 21 | 20% |
Chemistry | 8 | 7% |
Medicine and Dentistry | 5 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
Other | 9 | 8% |
Unknown | 13 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 April 2015.
All research outputs
#2,807,246
of 23,870,007 outputs
Outputs from PLOS ONE
#35,266
of 205,186 outputs
Outputs of similar age
#29,131
of 285,063 outputs
Outputs of similar age from PLOS ONE
#790
of 5,033 outputs
Altmetric has tracked 23,870,007 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 205,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 82% 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 285,063 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 89% of its contemporaries.
We're also able to compare this research output to 5,033 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.