You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Aberrant hiPSCs-Derived from Human Keratinocytes Differentiates into 3D Retinal Organoids that Acquire Mature Photoreceptors
|
|---|---|
| Published in |
Cells, January 2019
|
| DOI | 10.3390/cells8010036 |
| Pubmed ID | |
| Authors |
Rupendra Shrestha, Yao-Tseng Wen, Dah-Ching Ding, Rong-Kung Tsai |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| France | 1 | 13% |
| Canada | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Student > Doctoral Student | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Medicine and Dentistry | 4 | 11% |
| Agricultural and Biological Sciences | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 25 August 2022.
All research outputs
#2,350,762
of 24,998,746 outputs
Outputs from Cells
#515
of 9,832 outputs
Outputs of similar age
#53,138
of 449,176 outputs
Outputs of similar age from Cells
#15
of 235 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,832 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 94% 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 449,176 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 235 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.