| Title |
In vitro characterization of the human segmentation clock
|
|---|---|
| Published in |
Nature, January 2020
|
| DOI | 10.1038/s41586-019-1885-9 |
| Pubmed ID | |
| Authors |
Margarete Diaz-Cuadros, Daniel E. Wagner, Christoph Budjan, Alexis Hubaud, Oscar A. Tarazona, Sophia Donelly, Arthur Michaut, Ziad Al Tanoury, Kumiko Yoshioka-Kobayashi, Yusuke Niino, Ryoichiro Kageyama, Atsushi Miyawaki, Jonathan Touboul, Olivier Pourquié |
X Demographics
The data shown below were collected from the profiles of 104 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 | 27 | 26% |
| France | 7 | 7% |
| United Kingdom | 7 | 7% |
| India | 5 | 5% |
| Japan | 5 | 5% |
| Germany | 4 | 4% |
| Brazil | 2 | 2% |
| Cyprus | 1 | <1% |
| Singapore | 1 | <1% |
| Other | 7 | 7% |
| Unknown | 38 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 57 | 55% |
| Scientists | 41 | 39% |
| Practitioners (doctors, other healthcare professionals) | 4 | 4% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 314 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 314 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 65 | 21% |
| Student > Ph. D. Student | 63 | 20% |
| Student > Master | 34 | 11% |
| Student > Bachelor | 31 | 10% |
| Student > Doctoral Student | 14 | 4% |
| Other | 35 | 11% |
| Unknown | 72 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 126 | 40% |
| Agricultural and Biological Sciences | 45 | 14% |
| Neuroscience | 17 | 5% |
| Medicine and Dentistry | 16 | 5% |
| Engineering | 8 | 3% |
| Other | 30 | 10% |
| Unknown | 72 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 145. 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 20 July 2023.
All research outputs
#289,890
of 25,711,194 outputs
Outputs from Nature
#15,851
of 98,573 outputs
Outputs of similar age
#7,109
of 479,294 outputs
Outputs of similar age from Nature
#336
of 868 outputs
Altmetric has tracked 25,711,194 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 98,573 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has done well, scoring higher than 83% 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 479,294 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 98% of its contemporaries.
We're also able to compare this research output to 868 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 61% of its contemporaries.