| Title |
Single-cell analysis reveals congruence between kidney organoids and human fetal kidney
|
|---|---|
| Published in |
Genome Medicine, January 2019
|
| DOI | 10.1186/s13073-019-0615-0 |
| Pubmed ID | |
| Authors |
Alexander N. Combes, Luke Zappia, Pei Xuan Er, Alicia Oshlack, Melissa H. Little |
X Demographics
The data shown below were collected from the profiles of 55 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 15 | 27% |
| United States | 10 | 18% |
| United Kingdom | 4 | 7% |
| Germany | 2 | 4% |
| Ireland | 2 | 4% |
| France | 2 | 4% |
| China | 1 | 2% |
| Canada | 1 | 2% |
| Austria | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 14 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 30 | 55% |
| Members of the public | 23 | 42% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 238 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 24% |
| Researcher | 33 | 14% |
| Student > Bachelor | 23 | 10% |
| Student > Master | 16 | 7% |
| Student > Doctoral Student | 13 | 5% |
| Other | 23 | 10% |
| Unknown | 74 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 68 | 29% |
| Agricultural and Biological Sciences | 32 | 13% |
| Medicine and Dentistry | 15 | 6% |
| Engineering | 11 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 3% |
| Other | 21 | 9% |
| Unknown | 85 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 11 November 2019.
All research outputs
#1,050,868
of 24,653,581 outputs
Outputs from Genome Medicine
#211
of 1,518 outputs
Outputs of similar age
#25,421
of 446,944 outputs
Outputs of similar age from Genome Medicine
#3
of 19 outputs
Altmetric has tracked 24,653,581 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,518 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done well, scoring higher than 86% 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 446,944 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 94% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.