| Title |
Self-Healing Materials Formed by Cross-Linked Polyrotaxanes with Reversible Bonds
|
|---|---|
| Published in |
Chem, November 2016
|
| DOI | 10.1016/j.chempr.2016.09.013 |
| Authors |
Masaki Nakahata, Shoko Mori, Yoshinori Takashima, Hiroyasu Yamaguchi, Akira Harada |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Canada | 1 | 10% |
| United States | 1 | 10% |
| Italy | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Unknown | 157 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 18% |
| Student > Master | 20 | 13% |
| Researcher | 17 | 11% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 12 | 8% |
| Other | 25 | 16% |
| Unknown | 43 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 59 | 37% |
| Materials Science | 17 | 11% |
| Engineering | 14 | 9% |
| Chemical Engineering | 5 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 10 | 6% |
| Unknown | 49 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 72. 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 19 March 2024.
All research outputs
#598,900
of 25,608,265 outputs
Outputs from Chem
#96
of 1,699 outputs
Outputs of similar age
#11,405
of 318,437 outputs
Outputs of similar age from Chem
#3
of 37 outputs
Altmetric has tracked 25,608,265 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 1,699 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 94% 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 318,437 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 37 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 94% of its contemporaries.