Title |
Iα to Iβ mechano-conversion and amorphization in native cellulose simulated by crystal bending
|
---|---|
Published in |
Cellulose, June 2018
|
DOI | 10.1007/s10570-018-1860-x |
Authors |
Pan Chen, Yu Ogawa, Yoshiharu Nishiyama, Ahmed E. Ismail, Karim Mazeau |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 17% |
United States | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 26% |
Researcher | 4 | 13% |
Student > Doctoral Student | 3 | 10% |
Student > Ph. D. Student | 3 | 10% |
Student > Postgraduate | 3 | 10% |
Other | 2 | 6% |
Unknown | 8 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Materials Science | 6 | 19% |
Agricultural and Biological Sciences | 4 | 13% |
Chemistry | 3 | 10% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Physics and Astronomy | 2 | 6% |
Other | 3 | 10% |
Unknown | 11 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 August 2018.
All research outputs
#6,109,292
of 23,012,811 outputs
Outputs from Cellulose
#221
of 912 outputs
Outputs of similar age
#106,550
of 329,611 outputs
Outputs of similar age from Cellulose
#3
of 16 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 912 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 75% 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 329,611 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.