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Mendeley readers
Attention Score in Context
| Title |
An electrooptical muscle contraction sensor
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, May 2010
|
| DOI | 10.1007/s11517-010-0626-x |
| Pubmed ID | |
| Authors |
Alessio Chianura, Mario E. Giardini |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 2 | 5% |
| United Kingdom | 1 | 2% |
| Unknown | 39 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 19% |
| Researcher | 8 | 19% |
| Student > Bachelor | 6 | 14% |
| Student > Master | 5 | 12% |
| Other | 3 | 7% |
| Other | 9 | 21% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 43% |
| Agricultural and Biological Sciences | 4 | 10% |
| Medicine and Dentistry | 3 | 7% |
| Physics and Astronomy | 3 | 7% |
| Computer Science | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 7 | 17% |
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 22 September 2020.
All research outputs
#3,415,510
of 25,374,917 outputs
Outputs from Medical & Biological Engineering & Computing
#44
of 2,053 outputs
Outputs of similar age
#12,924
of 103,783 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#2
of 14 outputs
Altmetric has tracked 25,374,917 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 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% 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 103,783 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 86% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.