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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A personalised prosthetic liner with embedded sensor technology: a case study
|
|---|---|
| Published in |
BioMedical Engineering OnLine, September 2020
|
| DOI | 10.1186/s12938-020-00814-y |
| Pubmed ID | |
| Authors |
Linda Paternò, Vimal Dhokia, Arianna Menciassi, James Bilzon, Elena Seminati |
X Demographics
The data shown below were collected from the profiles of 14 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 | 8 | 57% |
| Italy | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 64% |
| Members of the public | 4 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 13% |
| Student > Master | 11 | 11% |
| Researcher | 10 | 10% |
| Student > Ph. D. Student | 8 | 8% |
| Other | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 38 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 27 | 28% |
| Medicine and Dentistry | 9 | 9% |
| Nursing and Health Professions | 5 | 5% |
| Agricultural and Biological Sciences | 2 | 2% |
| Design | 2 | 2% |
| Other | 10 | 10% |
| Unknown | 42 | 43% |
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 14 October 2020.
All research outputs
#3,221,991
of 23,577,654 outputs
Outputs from BioMedical Engineering OnLine
#71
of 837 outputs
Outputs of similar age
#82,487
of 404,187 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 9 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 837 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 91% 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 404,187 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them