↓ Skip to main content

Deterministic Transfer of Large-Scale β-Phase Arsenic on Fiber End Cap for Near-Infrared Ultrafast Pulse Generation

Overview of attention for article published in Frontiers in Materials, September 2021
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Deterministic Transfer of Large-Scale β-Phase Arsenic on Fiber End Cap for Near-Infrared Ultrafast Pulse Generation
Published in
Frontiers in Materials, September 2021
DOI 10.3389/fmats.2021.721587
Authors

Qiang Yu, Cheng Chen, Kun Guo, Haiqin Deng, Tianan Yi, Yan Zhang, Wei Su, Jian Wu, Kai Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 September 2021.
All research outputs
#18,145,205
of 23,310,485 outputs
Outputs from Frontiers in Materials
#469
of 2,585 outputs
Outputs of similar age
#294,839
of 433,330 outputs
Outputs of similar age from Frontiers in Materials
#22
of 169 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,585 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done well, scoring higher than 76% 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 433,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.