The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| Title |
Wavefunction matching for solving quantum many-body problems
|
|---|---|
| Published in |
Nature, May 2024
|
| DOI | 10.1038/s41586-024-07422-z |
| Pubmed ID | |
| Authors |
Serdar Elhatisari, Lukas Bovermann, Yuan-Zhuo Ma, Evgeny Epelbaum, Dillon Frame, Fabian Hildenbrand, Myungkuk Kim, Youngman Kim, Hermann Krebs, Timo A. Lähde, Dean Lee, Ning Li, Bing-Nan Lu, Ulf-G. Meißner, Gautam Rupak, Shihang Shen, Young-Ho Song, Gianluca Stellin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ghana | 1 | 5% |
| Turkey | 1 | 5% |
| Unknown | 20 | 91% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 64% |
| Scientists | 6 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 42% |
| Professor | 3 | 13% |
| Student > Ph. D. Student | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 12 | 50% |
| Medicine and Dentistry | 2 | 8% |
| Chemistry | 2 | 8% |
| Neuroscience | 1 | 4% |
| Materials Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 136. 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 17 June 2024.
All research outputs
#329,527
of 26,411,386 outputs
Outputs from Nature
#17,304
of 100,314 outputs
Outputs of similar age
#5,060
of 334,344 outputs
Outputs of similar age from Nature
#341
of 1,111 outputs
Altmetric has tracked 26,411,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 100,314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 104.0. This one has done well, scoring higher than 82% 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 334,344 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 98% of its contemporaries.
We're also able to compare this research output to 1,111 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.