| Title |
Derivation of Airway Basal Stem Cells from Human Pluripotent Stem Cells
|
|---|---|
| Published in |
Cell Stem Cell, October 2020
|
| DOI | 10.1016/j.stem.2020.09.017 |
| Pubmed ID | |
| Authors |
Finn J. Hawkins, Shingo Suzuki, Mary Lou Beermann, Cristina Barillà, Ruobing Wang, Carlos Villacorta-Martin, Andrew Berical, J.C. Jean, Jake Le Suer, Taylor Matte, Chantelle Simone-Roach, Yang Tang, Thorsten M. Schlaeger, Ana M. Crane, Nadine Matthias, Sarah X.L. Huang, Scott H. Randell, Joshua Wu, Jason R. Spence, Gianni Carraro, Barry R. Stripp, Andras Rab, Eric J. Sorsher, Amjad Horani, Steven L. Brody, Brian R. Davis, Darrell N. Kotton |
X Demographics
The data shown below were collected from the profiles of 82 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 | 36 | 44% |
| Ireland | 5 | 6% |
| United Kingdom | 2 | 2% |
| Australia | 2 | 2% |
| Canada | 2 | 2% |
| Belgium | 1 | 1% |
| Guinea | 1 | 1% |
| South Africa | 1 | 1% |
| India | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 28 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 51% |
| Scientists | 35 | 43% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 204 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 17% |
| Researcher | 30 | 15% |
| Student > Bachelor | 21 | 10% |
| Student > Master | 15 | 7% |
| Student > Doctoral Student | 9 | 4% |
| Other | 23 | 11% |
| Unknown | 72 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 57 | 28% |
| Agricultural and Biological Sciences | 21 | 10% |
| Medicine and Dentistry | 15 | 7% |
| Immunology and Microbiology | 13 | 6% |
| Engineering | 5 | 2% |
| Other | 20 | 10% |
| Unknown | 73 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 133. 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 21 April 2023.
All research outputs
#319,364
of 25,756,531 outputs
Outputs from Cell Stem Cell
#197
of 2,850 outputs
Outputs of similar age
#9,375
of 442,375 outputs
Outputs of similar age from Cell Stem Cell
#10
of 53 outputs
Altmetric has tracked 25,756,531 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,850 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.5. This one has done particularly well, scoring higher than 93% 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 442,375 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 97% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.