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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A potentiometric mechanotransduction mechanism for novel electronic skins
|
|---|---|
| Published in |
Science Advances, July 2020
|
| DOI | 10.1126/sciadv.aba1062 |
| Pubmed ID | |
| Authors |
Xiaodong Wu, Maruf Ahmed, Yasser Khan, Margaret E Payne, Juan Zhu, Canhui Lu, James W Evans, Ana C Arias |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Japan | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 3 | 50% |
| Scientists | 2 | 33% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 27% |
| Researcher | 6 | 8% |
| Student > Bachelor | 5 | 7% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 23 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 22 | 30% |
| Materials Science | 9 | 12% |
| Unspecified | 3 | 4% |
| Chemistry | 3 | 4% |
| Physics and Astronomy | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 31 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 October 2020.
All research outputs
#7,560,062
of 23,223,705 outputs
Outputs from Science Advances
#8,554
of 10,085 outputs
Outputs of similar age
#160,978
of 398,322 outputs
Outputs of similar age from Science Advances
#469
of 544 outputs
Altmetric has tracked 23,223,705 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,085 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 121.5. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 398,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 544 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.