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Use of a Smartphone Application to Speed Up Interhospital Transfer of Acute Ischemic Stroke Patients for Thrombectomy

Overview of attention for article published in Frontiers in Neurology, May 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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6 X users

Citations

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3 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Use of a Smartphone Application to Speed Up Interhospital Transfer of Acute Ischemic Stroke Patients for Thrombectomy
Published in
Frontiers in Neurology, May 2021
DOI 10.3389/fneur.2021.606673
Pubmed ID
Authors

Sheng-Ta Tsai, Wei-Chun Wang, Yu-Ting Lin, Wei-Shih Huang, Hung-Yu Huang, Chun-Ju Wang, En-Zu Lin, Wei-Ling Kung, Yuh-Cherng Guo, Kang-Hsu Lin, Ming-Kuei Lu, Pao-Sheng Yen, Wei-Laing Chen, Ying-Lin Tseng, Chin-Chi Kuo, Der-Yang Cho, Chun-Chung Chen, Chon-Haw Tsai

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 17%
Researcher 3 13%
Student > Doctoral Student 2 9%
Student > Postgraduate 2 9%
Librarian 1 4%
Other 4 17%
Unknown 7 30%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Neuroscience 3 13%
Nursing and Health Professions 1 4%
Chemistry 1 4%
Unspecified 1 4%
Other 0 0%
Unknown 12 52%
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 June 2021.
All research outputs
#7,115,998
of 23,308,124 outputs
Outputs from Frontiers in Neurology
#4,500
of 12,222 outputs
Outputs of similar age
#153,851
of 447,666 outputs
Outputs of similar age from Frontiers in Neurology
#147
of 605 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 12,222 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 63% 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 447,666 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 65% of its contemporaries.
We're also able to compare this research output to 605 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.