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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards the ideal vascular implant: Use of machine learning and statistical approaches to optimise manufacturing parameters
|
|---|---|
| Published in |
Frontiers in Physics, February 2023
|
| DOI | 10.3389/fphy.2023.1112218 |
| Authors |
Elisa Roldán, Neil D. Reeves, Glen Cooper, Kirstie Andrews |
X Demographics
The data shown below were collected from the profiles of 7 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 | 57% |
| Switzerland | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 20% |
| Student > Master | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Lecturer > Senior Lecturer | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 2 | 40% |
| Unspecified | 1 | 20% |
| Engineering | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 13 July 2023.
All research outputs
#6,101,461
of 24,403,034 outputs
Outputs from Frontiers in Physics
#202
of 4,179 outputs
Outputs of similar age
#108,388
of 445,912 outputs
Outputs of similar age from Frontiers in Physics
#7
of 315 outputs
Altmetric has tracked 24,403,034 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,179 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 95% 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 445,912 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 75% of its contemporaries.
We're also able to compare this research output to 315 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 98% of its contemporaries.