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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Topological chiral crystals with helicoid-arc quantum states
|
|---|---|
| Published in |
Nature, March 2019
|
| DOI | 10.1038/s41586-019-1037-2 |
| Pubmed ID | |
| Authors |
Daniel S. Sanchez, Ilya Belopolski, Tyler A. Cochran, Xitong Xu, Jia-Xin Yin, Guoqing Chang, Weiwei Xie, Kaustuv Manna, Vicky Süß, Cheng-Yi Huang, Nasser Alidoust, Daniel Multer, Songtian S. Zhang, Nana Shumiya, Xirui Wang, Guang-Qiang Wang, Tay-Rong Chang, Claudia Felser, Su-Yang Xu, Shuang Jia, Hsin Lin, M. Zahid Hasan |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Spain | 1 | 9% |
| Côte d'Ivoire | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Scientists | 1 | 9% |
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 % |
|---|---|---|
| Researcher | 53 | 25% |
| Student > Ph. D. Student | 46 | 21% |
| Professor | 18 | 8% |
| Student > Bachelor | 10 | 5% |
| Student > Doctoral Student | 9 | 4% |
| Other | 26 | 12% |
| Unknown | 52 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 102 | 48% |
| Materials Science | 29 | 14% |
| Engineering | 9 | 4% |
| Chemistry | 9 | 4% |
| Agricultural and Biological Sciences | 2 | <1% |
| Other | 5 | 2% |
| Unknown | 58 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 111. 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 05 September 2023.
All research outputs
#357,468
of 24,413,320 outputs
Outputs from Nature
#18,409
of 94,968 outputs
Outputs of similar age
#8,280
of 356,418 outputs
Outputs of similar age from Nature
#454
of 1,044 outputs
Altmetric has tracked 24,413,320 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 94,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 101.7. This one has done well, scoring higher than 80% 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 356,418 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 97% of its contemporaries.
We're also able to compare this research output to 1,044 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 56% of its contemporaries.