| Title |
Experiment and modelling of the strain-rate-dependent response during in vitro degradation of PLA fibres
|
|---|---|
| Published in |
SN Applied Sciences, January 2020
|
| DOI | 10.1007/s42452-020-1964-4 |
| Authors |
Anurag Singh, Rui Miranda Guedes, Diana Paiva, Fernão D. Magalhães |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 33% |
| Korea, Republic of | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 3 | 13% |
| Other | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 30% |
| Mathematics | 2 | 9% |
| Materials Science | 1 | 4% |
| Chemical Engineering | 1 | 4% |
| Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 January 2020.
All research outputs
#13,981,168
of 23,189,371 outputs
Outputs from SN Applied Sciences
#263
of 1,368 outputs
Outputs of similar age
#230,433
of 456,276 outputs
Outputs of similar age from SN Applied Sciences
#22
of 135 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,368 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 78% 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 456,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.