The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Engineering Human Stem Cell Lines with Inducible Gene Knockout using CRISPR/Cas9
|
|---|---|
| Published in |
Cell Stem Cell, July 2015
|
| DOI | 10.1016/j.stem.2015.06.001 |
| Pubmed ID | |
| Authors |
Yuejun Chen, Jingyuan Cao, Man Xiong, Andrew J. Petersen, Yi Dong, Yunlong Tao, Cindy Tzu-Ling Huang, Zhongwei Du, Su-Chun Zhang |
| Abstract |
Precise temporal control of gene expression or deletion is critical for elucidating gene function in biological systems. However, the establishment of human pluripotent stem cell (hPSC) lines with inducible gene knockout (iKO) remains challenging. We explored building iKO hPSC lines by combining CRISPR/Cas9-mediated genome editing with the Flp/FRT and Cre/LoxP system. We found that "dual-sgRNA targeting" is essential for biallelic knockin of FRT sequences to flank the exon. We further developed a strategy to simultaneously insert an activity-controllable recombinase-expressing cassette and remove the drug-resistance gene, thus speeding up the generation of iKO hPSC lines. This two-step strategy was used to establish human embryonic stem cell (hESC) and induced pluripotent stem cell (iPSC) lines with iKO of SOX2, PAX6, OTX2, and AGO2, genes that exhibit diverse structural layout and temporal expression patterns. The availability of iKO hPSC lines will substantially transform the way we examine gene function in human cells. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 15% |
| France | 2 | 6% |
| Switzerland | 2 | 6% |
| United Kingdom | 2 | 6% |
| Mexico | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 20 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 42% |
| Scientists | 13 | 39% |
| Science communicators (journalists, bloggers, editors) | 5 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 615 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| China | 2 | <1% |
| Japan | 2 | <1% |
| Canada | 2 | <1% |
| United Kingdom | 2 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 597 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 139 | 23% |
| Researcher | 117 | 19% |
| Student > Bachelor | 78 | 13% |
| Student > Master | 71 | 12% |
| Student > Doctoral Student | 29 | 5% |
| Other | 91 | 15% |
| Unknown | 90 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 200 | 33% |
| Biochemistry, Genetics and Molecular Biology | 194 | 32% |
| Neuroscience | 38 | 6% |
| Medicine and Dentistry | 36 | 6% |
| Engineering | 9 | 1% |
| Other | 34 | 6% |
| Unknown | 104 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 16 July 2024.
All research outputs
#995,963
of 25,837,817 outputs
Outputs from Cell Stem Cell
#670
of 2,849 outputs
Outputs of similar age
#11,655
of 279,931 outputs
Outputs of similar age from Cell Stem Cell
#14
of 44 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,849 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.7. This one has done well, scoring higher than 76% of its peers.
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 279,931 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.