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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Induced Pluripotent Stem Cells: Generation, Characterization, and Differentiation—Methods and Protocols
|
---|---|
Chapter number | 148 |
Book title |
Induced Pluripotent Stem (iPS) Cells
|
Published in |
Methods in molecular biology, November 2014
|
DOI | 10.1007/7651_2014_148 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3054-8, 978-1-4939-3055-5
|
Authors |
Veronica Kon Graversen, Sai H. Chavala |
Abstract |
Reprogramming fibroblasts into induced pluripotent stem cells (iPSC) remains a promising technique for cell replacement therapy. Diverse populations of somatic cells have been examined for their reprogramming potential. Recently, ocular ciliary body epithelial cells (CECs) have been reprogrammed with high reprogramming efficiency and single transcription factor reprogramming, making them an exciting candidate for cellular reprogramming strategies. |
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 25% |
Student > Ph. D. Student | 2 | 17% |
Student > Bachelor | 2 | 17% |
Other | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 42% |
Medicine and Dentistry | 3 | 25% |
Neuroscience | 1 | 8% |
Chemical Engineering | 1 | 8% |
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 10 December 2014.
All research outputs
#18,386,678
of 22,774,233 outputs
Outputs from Methods in molecular biology
#7,871
of 13,091 outputs
Outputs of similar age
#262,162
of 362,510 outputs
Outputs of similar age from Methods in molecular biology
#494
of 1,030 outputs
Altmetric has tracked 22,774,233 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 13,091 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 362,510 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,030 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.