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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Variational Quantum Linear Solver
|
|---|---|
| Published in |
arXiv, November 2023
|
| DOI | 10.22331/q-2023-11-22-1188 |
| Authors |
Carlos Bravo-Prieto, Ryan LaRose, M. Cerezo, Yigit Subasi, Lukasz Cincio, Patrick J. Coles |
X Demographics
The data shown below were collected from the profiles of 34 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 | 4 | 12% |
| India | 2 | 6% |
| China | 1 | 3% |
| Pakistan | 1 | 3% |
| United Kingdom | 1 | 3% |
| Mexico | 1 | 3% |
| Brazil | 1 | 3% |
| Japan | 1 | 3% |
| Germany | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 20 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 62% |
| Scientists | 12 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 25% |
| Researcher | 21 | 17% |
| Student > Master | 10 | 8% |
| Student > Bachelor | 4 | 3% |
| Professor | 3 | 2% |
| Other | 12 | 10% |
| Unknown | 42 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 34 | 28% |
| Computer Science | 18 | 15% |
| Engineering | 14 | 11% |
| Mathematics | 6 | 5% |
| Chemistry | 5 | 4% |
| Other | 4 | 3% |
| Unknown | 41 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 15 December 2023.
All research outputs
#1,833,880
of 25,859,234 outputs
Outputs from arXiv
#28,192
of 950,960 outputs
Outputs of similar age
#29,187
of 371,195 outputs
Outputs of similar age from arXiv
#1,110
of 36,443 outputs
Altmetric has tracked 25,859,234 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 950,960 research outputs from this source. They receive a mean Attention Score of 4.2. 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 371,195 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 92% of its contemporaries.
We're also able to compare this research output to 36,443 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 96% of its contemporaries.