| Title |
The molecular landscape of neural differentiation in the developing Drosophila brain revealed by targeted scRNA-seq and multi-informatic analysis
|
|---|---|
| Published in |
Cell Reports, April 2021
|
| DOI | 10.1016/j.celrep.2021.109039 |
| Pubmed ID | |
| Authors |
Nigel S. Michki, Ye Li, Kayvon Sanjasaz, Yimeng Zhao, Fred Y. Shen, Logan A. Walker, Wenjia Cao, Cheng-Yu Lee, Dawen Cai |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
| India | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 38% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 23% |
| Researcher | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Student > Master | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 19 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 30% |
| Neuroscience | 10 | 18% |
| Unspecified | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 19 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 81. 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 07 October 2021.
All research outputs
#524,906
of 25,401,381 outputs
Outputs from Cell Reports
#1,050
of 12,992 outputs
Outputs of similar age
#15,496
of 453,705 outputs
Outputs of similar age from Cell Reports
#31
of 339 outputs
Altmetric has tracked 25,401,381 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,992 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has done particularly well, scoring higher than 91% 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 453,705 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 96% of its contemporaries.
We're also able to compare this research output to 339 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 91% of its contemporaries.