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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 | 20 | 59% |
| Scientists | 13 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 24% |
| Researcher | 21 | 17% |
| Student > Master | 10 | 8% |
| Professor | 6 | 5% |
| Student > Bachelor | 4 | 3% |
| Other | 13 | 10% |
| Unknown | 42 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 34 | 27% |
| Computer Science | 18 | 14% |
| Engineering | 14 | 11% |
| Mathematics | 6 | 5% |
| Unspecified | 6 | 5% |
| Other | 9 | 7% |
| Unknown | 40 | 31% |
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
#1,819,656
of 25,711,518 outputs
Outputs from arXiv
#27,849
of 938,867 outputs
Outputs of similar age
#28,506
of 364,495 outputs
Outputs of similar age from arXiv
#1,081
of 36,522 outputs
Altmetric has tracked 25,711,518 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 938,867 research outputs from this source. They receive a mean Attention Score of 4.3. 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 364,495 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 36,522 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 97% of its contemporaries.