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Keep Healthcare Workers Safe: Application of Teleoperated Robot in Isolation Ward for COVID-19 Prevention and Control

Overview of attention for article published in Chinese Journal of Mechanical Engineering, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

policy
1 policy source
facebook
1 Facebook page

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
131 Mendeley
Title
Keep Healthcare Workers Safe: Application of Teleoperated Robot in Isolation Ward for COVID-19 Prevention and Control
Published in
Chinese Journal of Mechanical Engineering, June 2020
DOI 10.1186/s10033-020-00464-0
Authors

Geng Yang, Honghao Lv, Zhiyu Zhang, Liu Yang, Jia Deng, Siqi You, Juan Du, Huayong Yang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 11%
Student > Ph. D. Student 13 10%
Researcher 10 8%
Student > Bachelor 7 5%
Other 6 5%
Other 22 17%
Unknown 59 45%
Readers by discipline Count As %
Engineering 33 25%
Computer Science 8 6%
Medicine and Dentistry 6 5%
Nursing and Health Professions 4 3%
Social Sciences 4 3%
Other 16 12%
Unknown 60 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 October 2022.
All research outputs
#7,929,765
of 24,554,073 outputs
Outputs from Chinese Journal of Mechanical Engineering
#19
of 63 outputs
Outputs of similar age
#160,797
of 402,914 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#2
of 2 outputs
Altmetric has tracked 24,554,073 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 63 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 71% 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 402,914 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.