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Cervix Type and Cervical Cancer Classification System Using Deep Learning Techniques

Overview of attention for article published in Medical Devices : Evidence and Research, June 2022
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Mentioned by

twitter
2 X users

Citations

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23 Dimensions

Readers on

mendeley
86 Mendeley
Title
Cervix Type and Cervical Cancer Classification System Using Deep Learning Techniques
Published in
Medical Devices : Evidence and Research, June 2022
DOI 10.2147/mder.s366303
Pubmed ID
Authors

Lidiya Wubshet Habtemariam, Elbetel Taye Zewde, Gizeaddis Lamesgin Simegn

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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 8%
Student > Bachelor 5 6%
Unspecified 5 6%
Researcher 5 6%
Student > Master 4 5%
Other 7 8%
Unknown 53 62%
Readers by discipline Count As %
Computer Science 12 14%
Medicine and Dentistry 8 9%
Unspecified 5 6%
Engineering 5 6%
Nursing and Health Professions 1 1%
Other 4 5%
Unknown 51 59%
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 23 June 2022.
All research outputs
#20,726,252
of 25,462,162 outputs
Outputs from Medical Devices : Evidence and Research
#235
of 314 outputs
Outputs of similar age
#333,906
of 447,012 outputs
Outputs of similar age from Medical Devices : Evidence and Research
#4
of 6 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 447,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
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 2 of them.