| Title |
A widely adaptable approach to generate integration-free iPSCs from non-invasively acquired human somatic cells
|
|---|---|
| Published in |
Protein & Cell, November 2014
|
| DOI | 10.1007/s13238-014-0117-1 |
| Pubmed ID | |
| Authors |
Zhichao Ding, Lina Sui, Ruotong Ren, Yanjun Liu, Xiuling Xu, Lina Fu, Ruijun Bai, Tingting Yuan, Ying Hao, Weiqi Zhang, Huize Pan, Wensu Liu, Han Yu, Concepcion Rodriguez Esteban, Xiaobing Yu, Ze Yang, Jian Li, Xiaomin Wang, Juan Carlos Izpisua Belmonte, Guang-Hui Liu, Fei Yi, Jing Qu |
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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Student > Master | 2 | 20% |
| Student > Bachelor | 1 | 10% |
| Lecturer | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 40% |
| Agricultural and Biological Sciences | 3 | 30% |
| Engineering | 1 | 10% |
| Unknown | 2 | 20% |
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 09 December 2014.
All research outputs
#18,386,678
of 22,774,233 outputs
Outputs from Protein & Cell
#558
of 738 outputs
Outputs of similar age
#261,751
of 361,568 outputs
Outputs of similar age from Protein & Cell
#10
of 17 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 738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one is in the 10th percentile – i.e., 10% 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 361,568 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 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.