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Mendeley readers
Attention Score in Context
| Title |
Machine-learning reprogrammable metasurface imager
|
|---|---|
| Published in |
Nature Communications, March 2019
|
| DOI | 10.1038/s41467-019-09103-2 |
| Pubmed ID | |
| Authors |
Lianlin Li, Hengxin Ruan, Che Liu, Ying Li, Ya Shuang, Andrea Alù, Cheng-Wei Qiu, Tie Jun Cui |
Mendeley readers
The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 242 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 17% |
| Student > Master | 26 | 11% |
| Researcher | 17 | 7% |
| Student > Doctoral Student | 16 | 7% |
| Student > Bachelor | 9 | 4% |
| Other | 32 | 13% |
| Unknown | 101 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 65 | 27% |
| Physics and Astronomy | 26 | 11% |
| Computer Science | 15 | 6% |
| Materials Science | 9 | 4% |
| Medicine and Dentistry | 3 | 1% |
| Other | 16 | 7% |
| Unknown | 108 | 45% |
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 07 March 2024.
All research outputs
#6,498,524
of 25,443,857 outputs
Outputs from Nature Communications
#40,177
of 57,079 outputs
Outputs of similar age
#115,782
of 366,335 outputs
Outputs of similar age from Nature Communications
#1,044
of 1,397 outputs
Altmetric has tracked 25,443,857 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 57,079 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.6. This one is in the 29th percentile – i.e., 29% 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 366,335 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 68% of its contemporaries.
We're also able to compare this research output to 1,397 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.