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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Electrically tunable low-density superconductivity in a monolayer topological insulator
|
|---|---|
| Published in |
Science, November 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 |
Twitter Demographics
The data shown below were collected from the profiles of 7 tweeters 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 459 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 459 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 124 | 27% |
| Researcher | 83 | 18% |
| Student > Master | 41 | 9% |
| Student > Bachelor | 23 | 5% |
| Student > Doctoral Student | 22 | 5% |
| Other | 69 | 15% |
| Unknown | 97 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 232 | 51% |
| Materials Science | 56 | 12% |
| Engineering | 25 | 5% |
| Chemistry | 17 | 4% |
| Unspecified | 4 | <1% |
| Other | 16 | 3% |
| Unknown | 109 | 24% |
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
#845,501
of 24,169,085 outputs
Outputs from Science
#16,279
of 79,431 outputs
Outputs of similar age
#20,044
of 445,371 outputs
Outputs of similar age from Science
#510
of 1,142 outputs
Altmetric has tracked 24,169,085 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 79,431 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.2. This one has done well, scoring higher than 79% 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 445,371 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 95% of its contemporaries.
We're also able to compare this research output to 1,142 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.