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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modular Morphing Lattices for Large-Scale Underwater Continuum Robotic Structures
|
|---|---|
| Published in |
Soft Robotics, February 2023
|
| DOI | 10.1089/soro.2022.0117 |
| Pubmed ID | |
| Authors |
Alfonso Parra Rubio, Dixia Fan, Benjamin Jenett, José del Águila Ferrandis, Filippos Tourlomousis, Amira Abdel-Rahman, David Preiss, Jiri Zemánek, Michael Triantafyllou, Neil Gershenfeld |
X Demographics
The data shown below were collected from the profiles of 24 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 States | 4 | 17% |
| Mexico | 2 | 8% |
| United Kingdom | 2 | 8% |
| Egypt | 1 | 4% |
| Guadeloupe | 1 | 4% |
| India | 1 | 4% |
| Panama | 1 | 4% |
| Nepal | 1 | 4% |
| Kenya | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 83% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
| Scientists | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Other | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 9 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 33% |
| Agricultural and Biological Sciences | 1 | 7% |
| Unknown | 9 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 197. 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 16 February 2023.
All research outputs
#200,427
of 25,383,225 outputs
Outputs from Soft Robotics
#6
of 368 outputs
Outputs of similar age
#5,075
of 472,802 outputs
Outputs of similar age from Soft Robotics
#1
of 12 outputs
Altmetric has tracked 25,383,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 368 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done particularly well, scoring higher than 98% 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 472,802 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 12 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 99% of its contemporaries.