Title |
Tree of motility – A proposed history of motility systems in the tree of life
|
---|---|
Published in |
Genes to Cells, January 2020
|
DOI | 10.1111/gtc.12737 |
Pubmed ID | |
Authors |
Makoto Miyata, Robert C. Robinson, Taro Q. P. Uyeda, Yoshihiro Fukumori, Shun‐ichi Fukushima, Shin Haruta, Michio Homma, Kazuo Inaba, Masahiro Ito, Chikara Kaito, Kentaro Kato, Tsuyoshi Kenri, Yoshiaki Kinosita, Seiji Kojima, Tohru Minamino, Hiroyuki Mori, Shuichi Nakamura, Daisuke Nakane, Koji Nakayama, Masayoshi Nishiyama, Satoshi Shibata, Katsuya Shimabukuro, Masatada Tamakoshi, Azuma Taoka, Yosuke Tashiro, Isil Tulum, Hirofumi Wada, Ken‐ichi Wakabayashi |
X Demographics
The data shown below were collected from the profiles of 56 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 10 | 18% |
Germany | 2 | 4% |
Argentina | 2 | 4% |
United Kingdom | 2 | 4% |
Brazil | 1 | 2% |
Czechia | 1 | 2% |
Chile | 1 | 2% |
Sweden | 1 | 2% |
Taiwan | 1 | 2% |
Other | 4 | 7% |
Unknown | 31 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 55% |
Scientists | 25 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 178 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 17% |
Researcher | 19 | 11% |
Student > Bachelor | 16 | 9% |
Student > Master | 13 | 7% |
Other | 12 | 7% |
Other | 30 | 17% |
Unknown | 57 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 36 | 20% |
Agricultural and Biological Sciences | 33 | 19% |
Immunology and Microbiology | 11 | 6% |
Physics and Astronomy | 9 | 5% |
Chemistry | 5 | 3% |
Other | 21 | 12% |
Unknown | 63 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 05 June 2023.
All research outputs
#1,146,867
of 25,734,859 outputs
Outputs from Genes to Cells
#9
of 1,233 outputs
Outputs of similar age
#28,358
of 482,330 outputs
Outputs of similar age from Genes to Cells
#1
of 22 outputs
Altmetric has tracked 25,734,859 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 1,233 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 99% 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 482,330 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 22 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 95% of its contemporaries.