| Title |
Generation of Human Fatty Livers Using Custom-Engineered Induced Pluripotent Stem Cells with Modifiable SIRT1 Metabolism
|
|---|---|
| Published in |
Cell Metabolism (Science Direct), August 2019
|
| DOI | 10.1016/j.cmet.2019.06.017 |
| Pubmed ID | |
| Authors |
Alexandra Collin de l’Hortet, Kazuki Takeishi, Jorge Guzman-Lepe, Kazutoyo Morita, Abhinav Achreja, Branimir Popovic, Yang Wang, Kan Handa, Anjali Mittal, Noah Meurs, Ziwen Zhu, Frank Weinberg, Michael Salomon, Ira J. Fox, Chu-Xia Deng, Deepak Nagrath, Alejandro Soto-Gutierrez |
X Demographics
The data shown below were collected from the profiles of 117 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 29 | 25% |
| India | 8 | 7% |
| Spain | 5 | 4% |
| France | 4 | 3% |
| Canada | 3 | 3% |
| United Kingdom | 3 | 3% |
| Germany | 1 | <1% |
| Venezuela, Bolivarian Republic of | 1 | <1% |
| Finland | 1 | <1% |
| Other | 11 | 9% |
| Unknown | 51 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 86 | 74% |
| Scientists | 19 | 16% |
| Science communicators (journalists, bloggers, editors) | 7 | 6% |
| Practitioners (doctors, other healthcare professionals) | 5 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 135 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 20 | 15% |
| Researcher | 18 | 13% |
| Student > Ph. D. Student | 16 | 12% |
| Student > Master | 10 | 7% |
| Other | 8 | 6% |
| Other | 22 | 16% |
| Unknown | 41 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 36 | 27% |
| Medicine and Dentistry | 14 | 10% |
| Agricultural and Biological Sciences | 10 | 7% |
| Engineering | 10 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Other | 14 | 10% |
| Unknown | 46 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 419. 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 19 May 2023.
All research outputs
#70,423
of 25,663,438 outputs
Outputs from Cell Metabolism (Science Direct)
#112
of 3,199 outputs
Outputs of similar age
#1,286
of 360,353 outputs
Outputs of similar age from Cell Metabolism (Science Direct)
#3
of 57 outputs
Altmetric has tracked 25,663,438 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,199 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 74.4. This one has done particularly well, scoring higher than 96% 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 360,353 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 99% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.