| Title |
A natively flexible 32-bit Arm microprocessor
|
|---|---|
| Published in |
Nature, July 2021
|
| DOI | 10.1038/s41586-021-03625-w |
| Pubmed ID | |
| Authors |
John Biggs, James Myers, Jedrzej Kufel, Emre Ozer, Simon Craske, Antony Sou, Catherine Ramsdale, Ken Williamson, Richard Price, Scott White |
X Demographics
The data shown below were collected from the profiles of 225 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 | 43 | 19% |
| United Kingdom | 18 | 8% |
| Japan | 8 | 4% |
| Spain | 7 | 3% |
| Germany | 5 | 2% |
| Taiwan | 4 | 2% |
| Colombia | 3 | 1% |
| Australia | 3 | 1% |
| Canada | 3 | 1% |
| Other | 38 | 17% |
| Unknown | 93 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 192 | 85% |
| Scientists | 26 | 12% |
| Practitioners (doctors, other healthcare professionals) | 4 | 2% |
| Science communicators (journalists, bloggers, editors) | 3 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 214 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 18% |
| Researcher | 25 | 12% |
| Student > Master | 16 | 7% |
| Other | 11 | 5% |
| Student > Bachelor | 10 | 5% |
| Other | 33 | 15% |
| Unknown | 81 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 58 | 27% |
| Materials Science | 19 | 9% |
| Physics and Astronomy | 13 | 6% |
| Computer Science | 8 | 4% |
| Chemical Engineering | 5 | 2% |
| Other | 21 | 10% |
| Unknown | 90 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 467. 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 02 July 2022.
All research outputs
#59,475
of 25,845,895 outputs
Outputs from Nature
#4,700
of 98,921 outputs
Outputs of similar age
#1,978
of 448,091 outputs
Outputs of similar age from Nature
#144
of 926 outputs
Altmetric has tracked 25,845,895 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 98,921 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.8. 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 448,091 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 926 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.