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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-chip microprocessor that communicates directly using light
|
|---|---|
| Published in |
Nature, December 2015
|
| DOI | 10.1038/nature16454 |
| Pubmed ID | |
| Authors |
Chen Sun, Mark T. Wade, Yunsup Lee, Jason S. Orcutt, Luca Alloatti, Michael S. Georgas, Andrew S. Waterman, Jeffrey M. Shainline, Rimas R. Avizienis, Sen Lin, Benjamin R. Moss, Rajesh Kumar, Fabio Pavanello, Amir H. Atabaki, Henry M. Cook, Albert J. Ou, Jonathan C. Leu, Yu-Hsin Chen, Krste Asanović, Rajeev J. Ram, Miloš A. Popović, Vladimir M. Stojanović |
X Demographics
The data shown below were collected from the profiles of 144 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 | 22 | 15% |
| United Kingdom | 13 | 9% |
| Canada | 5 | 3% |
| Spain | 5 | 3% |
| Chile | 3 | 2% |
| Russia | 3 | 2% |
| India | 2 | 1% |
| France | 2 | 1% |
| Portugal | 2 | 1% |
| Other | 24 | 17% |
| Unknown | 63 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 115 | 80% |
| Scientists | 19 | 13% |
| Practitioners (doctors, other healthcare professionals) | 5 | 3% |
| Science communicators (journalists, bloggers, editors) | 5 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 965 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | <1% |
| India | 5 | <1% |
| Spain | 3 | <1% |
| France | 2 | <1% |
| Switzerland | 2 | <1% |
| China | 2 | <1% |
| Korea, Republic of | 2 | <1% |
| Japan | 2 | <1% |
| Australia | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 935 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 308 | 32% |
| Researcher | 166 | 17% |
| Student > Master | 108 | 11% |
| Student > Bachelor | 55 | 6% |
| Student > Doctoral Student | 42 | 4% |
| Other | 122 | 13% |
| Unknown | 164 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 356 | 37% |
| Physics and Astronomy | 254 | 26% |
| Materials Science | 68 | 7% |
| Computer Science | 38 | 4% |
| Chemistry | 14 | 1% |
| Other | 51 | 5% |
| Unknown | 184 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 530. 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 April 2024.
All research outputs
#47,711
of 25,707,225 outputs
Outputs from Nature
#3,960
of 98,567 outputs
Outputs of similar age
#617
of 398,435 outputs
Outputs of similar age from Nature
#74
of 980 outputs
Altmetric has tracked 25,707,225 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 98,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. 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 398,435 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 99% of its contemporaries.
We're also able to compare this research output to 980 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 92% of its contemporaries.