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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Electrically tunable low-density superconductivity in a monolayer topological insulator
|
|---|---|
| Published in |
Science, October 2018
|
| DOI | 10.1126/science.aar4642 |
| Pubmed ID | |
| Authors |
Valla Fatemi, Sanfeng Wu, Yuan Cao, Landry Bretheau, Quinn D Gibson, Kenji Watanabe, Takashi Taniguchi, Robert J Cava, Pablo Jarillo-Herrero |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 14% |
| Portugal | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 476 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 476 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 126 | 26% |
| Researcher | 85 | 18% |
| Student > Master | 43 | 9% |
| Student > Bachelor | 24 | 5% |
| Student > Doctoral Student | 23 | 5% |
| Other | 67 | 14% |
| Unknown | 108 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 237 | 50% |
| Materials Science | 56 | 12% |
| Engineering | 28 | 6% |
| Chemistry | 17 | 4% |
| Biochemistry, Genetics and Molecular Biology | 4 | <1% |
| Other | 14 | 3% |
| Unknown | 120 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 46. 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 July 2020.
All research outputs
#908,137
of 25,385,509 outputs
Outputs from Science
#17,791
of 82,915 outputs
Outputs of similar age
#19,838
of 361,805 outputs
Outputs of similar age from Science
#552
of 1,245 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 82,915 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.7. This one has done well, scoring higher than 78% 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 361,805 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 94% of its contemporaries.
We're also able to compare this research output to 1,245 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 55% of its contemporaries.