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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
MicroRNA Expression Profiling During Neural Differentiation of Mouse Embryonic Carcinoma P19 Cells.
|
|---|---|
| Chapter number | 9 |
| Book title |
MicroRNA Protocols
|
| Published in |
Methods in molecular biology, September 2012
|
| DOI | 10.1007/978-1-62703-083-0_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-082-3, 978-1-62703-083-0
|
| Authors |
Botao Zhao, Bing Huang, Wei Li, Youxin Jin, Zhao, Botao, Huang, Bing, Li, Wei, Jin, Youxin |
| Abstract |
The Mouse P19 cell line was derived from an embryonal carcinoma. The pluripotent P19 cells can be induced to differentiate into neuronal and glial cells. Here, we describe an miRNA microarray method to monitor the miRNA expression profiles during the course of P19 cells neuronal differentiation. The results indicated that there were significant differences between the miRNA expression in P19 EC cells and the resultant differentiated neural stem cells. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 4% |
| Portugal | 1 | 2% |
| Unknown | 43 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 39% |
| Student > Ph. D. Student | 15 | 33% |
| Professor > Associate Professor | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Professor | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 61% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Medicine and Dentistry | 4 | 9% |
| Neuroscience | 2 | 4% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 2 | 4% |
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 14 November 2013.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from Methods in molecular biology
#7,832
of 13,045 outputs
Outputs of similar age
#130,416
of 171,824 outputs
Outputs of similar age from Methods in molecular biology
#42
of 77 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,045 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 171,824 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.