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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Roles of ZIC2 in Regulation of Pluripotent Stem Cells
|
|---|---|
| Chapter number | 17 |
| Book title |
Zic family
|
| Published in |
Advances in experimental medicine and biology, January 2018
|
| DOI | 10.1007/978-981-10-7311-3_17 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-107310-6, 978-9-81-107311-3
|
| Authors |
Hisato Kondoh |
| Abstract |
Pioneered by the classical mouse embryonic stem cells (ESCs), various stem cell lines representing the peri- and postimplantation stages of embryogenesis have been established. To gain insight into the gene regulatory network operating in these cells, we first investigated epiblast stem cells (EpiSCs), performing ChIP-seq analysis for five major transcription factors (TFs) involved in epiblast regulation. The analysis indicated that SOX2-POU5F1 TF pairs highlighted in mouse ESCs are not the major players in other stem cells. The major acting transcription factors shift from SOX2/POU5F1 in mouse ESCs to ZIC2/OTX2 in EpiSCs, and this shift is primed in ESCs by binding of ZIC2 at relevant genomic positions that later function as enhancers. |
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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 22% |
| Professor | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Master | 1 | 11% |
| Researcher | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 44% |
| Agricultural and Biological Sciences | 1 | 11% |
| Neuroscience | 1 | 11% |
| Unknown | 3 | 33% |
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 February 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from Advances in experimental medicine and biology
#3,325
of 4,966 outputs
Outputs of similar age
#330,565
of 442,364 outputs
Outputs of similar age from Advances in experimental medicine and biology
#154
of 237 outputs
Altmetric has tracked 23,023,224 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 4,966 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 19th percentile – i.e., 19% 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 442,364 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.