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WEENet: An Intelligent System for Diagnosing COVID-19 and Lung Cancer in IoMT Environments

Overview of attention for article published in Frontiers in oncology, February 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
39 Mendeley
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Title
WEENet: An Intelligent System for Diagnosing COVID-19 and Lung Cancer in IoMT Environments
Published in
Frontiers in oncology, February 2022
DOI 10.3389/fonc.2021.811355
Pubmed ID
Authors

Khan Muhammad, Hayat Ullah, Zulfiqar Ahmad Khan, Abdul Khader Jilani Saudagar, Abdullah AlTameem, Mohammed AlKhathami, Muhammad Badruddin Khan, Mozaherul Hoque Abul Hasanat, Khalid Mahmood Malik, Mohammad Hijji, Muhammad Sajjad

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 13%
Student > Ph. D. Student 3 8%
Student > Postgraduate 2 5%
Student > Master 2 5%
Student > Doctoral Student 1 3%
Other 0 0%
Unknown 26 67%
Readers by discipline Count As %
Computer Science 3 8%
Business, Management and Accounting 2 5%
Engineering 2 5%
Medicine and Dentistry 2 5%
Nursing and Health Professions 1 3%
Other 3 8%
Unknown 26 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 February 2022.
All research outputs
#16,795,718
of 25,478,886 outputs
Outputs from Frontiers in oncology
#6,658
of 22,568 outputs
Outputs of similar age
#289,700
of 518,762 outputs
Outputs of similar age from Frontiers in oncology
#416
of 1,453 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,568 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% 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 518,762 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,453 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 63% of its contemporaries.