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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Reprogramming Somatic Cells into Pluripotent Stem Cells Using miRNAs.
|
|---|---|
| Chapter number | 19 |
| Book title |
Stem Cell Transcriptional Networks
|
| Published in |
Methods in molecular biology, April 2014
|
| DOI | 10.1007/978-1-4939-0512-6_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-0511-9, 978-1-4939-0512-6
|
| Authors |
Anokye-Danso F, Frederick Anokye-Danso, Anokye-Danso, Frederick |
| Abstract |
Reversal of terminally differentiated somatic cells to ground-state pluripotency has rejuvenated our hopes of generating patient-specific stem cells for therapeutic use in regenerative medicine and drug screening. Originally generated using defined exogenous protein-coding DNA, several methods have been described in reprogramming somatic cells into iPSC. Majority of published methods seek to improve or refine the techniques of reprogramming. This chapter describes reprogramming to pluripotency using miRNAs. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 43% |
| Professor | 1 | 14% |
| Researcher | 1 | 14% |
| Lecturer | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 71% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Unknown | 1 | 14% |
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 15 December 2014.
All research outputs
#20,246,428
of 22,774,233 outputs
Outputs from Methods in molecular biology
#9,866
of 13,091 outputs
Outputs of similar age
#192,959
of 226,577 outputs
Outputs of similar age from Methods in molecular biology
#97
of 149 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,091 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 226,577 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 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.