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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling the Three-Dimensional Bioprinting Process of β-Sheet Self-Assembling Peptide Hydrogel Scaffolds
|
|---|---|
| Published in |
Frontiers in Medical Technology, October 2020
|
| DOI | 10.3389/fmedt.2020.571626 |
| Pubmed ID | |
| Authors |
Irene Chiesa, Cosimo Ligorio, Amedeo F. Bonatti, Aurora De Acutis, Andrew M. Smith, Alberto Saiani, Giovanni Vozzi, Carmelo De Maria |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
| Comoros | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 3 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Researcher | 6 | 12% |
| Other | 4 | 8% |
| Student > Master | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 33% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Materials Science | 4 | 8% |
| Agricultural and Biological Sciences | 2 | 4% |
| Physics and Astronomy | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 20 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 January 2021.
All research outputs
#3,315,932
of 23,248,929 outputs
Outputs from Frontiers in Medical Technology
#18
of 228 outputs
Outputs of similar age
#86,899
of 415,950 outputs
Outputs of similar age from Frontiers in Medical Technology
#2
of 11 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 228 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 92% 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 415,950 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.