| Title |
Diverse Community Structures in the Neuronal-Level Connectome of the Drosophila Brain
|
|---|---|
| Published in |
Neuroinformatics, December 2019
|
| DOI | 10.1007/s12021-019-09443-w |
| Pubmed ID | |
| Authors |
Chi-Tin Shih, Yen-Jen Lin, Cheng-Te Wang, Ting-Yuan Wang, Chih-Chen Chen, Ta-Shun Su, Chung-Chuang Lo, Ann-Shyn Chiang |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 3 | 25% |
| United States | 2 | 17% |
| Australia | 2 | 17% |
| Belgium | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 29% |
| Researcher | 4 | 24% |
| Student > Bachelor | 2 | 12% |
| Lecturer | 2 | 12% |
| Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 41% |
| Arts and Humanities | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Environmental Science | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 June 2020.
All research outputs
#4,279,658
of 23,577,654 outputs
Outputs from Neuroinformatics
#67
of 414 outputs
Outputs of similar age
#97,877
of 461,730 outputs
Outputs of similar age from Neuroinformatics
#2
of 6 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 414 research outputs from this source. They receive a mean Attention Score of 4.4. 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 461,730 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 78% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.