↓ Skip to main content

Dove Medical Press

Article Metrics

Artificial Intelligence Clinicians Can Use Chest Computed Tomography Technology to Automatically Diagnose Coronavirus Disease 2019 (COVID-19) Pneumonia and Enhance Low-Quality Images

Overview of attention for article published in Infection and Drug Resistance, February 2021
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
11 tweeters

Readers on

mendeley
22 Mendeley
Title
Artificial Intelligence Clinicians Can Use Chest Computed Tomography Technology to Automatically Diagnose Coronavirus Disease 2019 (COVID-19) Pneumonia and Enhance Low-Quality Images
Published in
Infection and Drug Resistance, February 2021
DOI 10.2147/idr.s296346
Pubmed ID
Authors

Quan Zhang, Zhuo Chen, Guohua Liu, Wenjia Zhang, Qian Du, Jiayuan Tan, Qianqian Gao

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 68%
Student > Postgraduate 2 9%
Student > Ph. D. Student 1 5%
Librarian 1 5%
Student > Master 1 5%
Other 0 0%
Unknown 2 9%
Readers by discipline Count As %
Medicine and Dentistry 16 73%
Social Sciences 2 9%
Nursing and Health Professions 1 5%
Unknown 3 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 March 2021.
All research outputs
#4,744,067
of 17,408,409 outputs
Outputs from Infection and Drug Resistance
#113
of 931 outputs
Outputs of similar age
#92,021
of 274,806 outputs
Outputs of similar age from Infection and Drug Resistance
#2
of 6 outputs
Altmetric has tracked 17,408,409 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 931 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 87% 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 274,806 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 66% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.