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Mendeley readers
Attention Score in Context
Chapter title |
Microarray Approach to Identify the Signaling Network Responsible for Self-Renewal of Human Embryonic Stem Cells.
|
---|---|
Chapter number | 244 |
Book title |
Human Embryonic Stem Cell Protocols
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Published in |
Methods in molecular biology, May 2015
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DOI | 10.1007/7651_2015_244 |
Pubmed ID | |
Book ISBNs |
978-1-4939-2667-1, 978-1-4939-2668-8
|
Authors |
Sato, Noboru, Brivanlou, Ali, Noboru Sato, Ali Brivanlou |
Abstract |
Here we introduce the representative method to culture HESCs under the feeder and feeder-free conditions, the former of which is used to maintain or expand undifferentiated HESCs, and the latter can be used for the preparation of pure HESCs RNA samples, or for screening factors influential on self-renewal of HESCs. We also describe a protocol and tips for conducting gene chip analysis focusing on widely used Affymetrix Microarrays. These techniques will provide us unprecedented scale of biological information that would illuminate a key to decipher complex signaling networks controlling pluripotency. |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 8% |
Unknown | 11 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 25% |
Other | 2 | 17% |
Student > Bachelor | 2 | 17% |
Student > Ph. D. Student | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 42% |
Agricultural and Biological Sciences | 2 | 17% |
Computer Science | 1 | 8% |
Immunology and Microbiology | 1 | 8% |
Chemistry | 1 | 8% |
Other | 0 | 0% |
Unknown | 2 | 17% |
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 21 May 2015.
All research outputs
#17,758,492
of 22,805,349 outputs
Outputs from Methods in molecular biology
#7,224
of 13,118 outputs
Outputs of similar age
#180,034
of 266,611 outputs
Outputs of similar age from Methods in molecular biology
#14
of 27 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,118 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% 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 266,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.