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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Aberrant axon branching via Fos-B dysregulation in FUS-ALS motor neurons
|
|---|---|
| Published in |
EBioMedicine, June 2019
|
| DOI | 10.1016/j.ebiom.2019.06.013 |
| Pubmed ID | |
| Authors |
Tetsuya Akiyama, Naoki Suzuki, Mitsuru Ishikawa, Koki Fujimori, Takefumi Sone, Jiro Kawada, Ryo Funayama, Fumiyoshi Fujishima, Shio Mitsuzawa, Kensuke Ikeda, Hiroya Ono, Tomomi Shijo, Shion Osana, Matsuyuki Shirota, Tadashi Nakagawa, Yasuo Kitajima, Ayumi Nishiyama, Rumiko Izumi, Satoru Morimoto, Yohei Okada, Takayuki Kamei, Mayumi Nishida, Masahiro Nogami, Shohei Kaneda, Yoshiho Ikeuchi, Hiroaki Mitsuhashi, Keiko Nakayama, Teruo Fujii, Hitoshi Warita, Hideyuki Okano, Masashi Aoki |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 18% |
| Researcher | 13 | 12% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 12 | 11% |
| Lecturer | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 32 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 25 | 22% |
| Biochemistry, Genetics and Molecular Biology | 17 | 15% |
| Agricultural and Biological Sciences | 10 | 9% |
| Medicine and Dentistry | 5 | 4% |
| Engineering | 3 | 3% |
| Other | 14 | 12% |
| Unknown | 39 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 28 January 2021.
All research outputs
#987,209
of 25,385,509 outputs
Outputs from EBioMedicine
#488
of 4,010 outputs
Outputs of similar age
#21,542
of 365,443 outputs
Outputs of similar age from EBioMedicine
#11
of 142 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.0. This one has done well, scoring higher than 87% 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 365,443 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 142 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 92% of its contemporaries.