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Melanoma diagnosis using deep learning techniques on dermatoscopic images

Overview of attention for article published in BMC Medical Imaging, January 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
102 Mendeley
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Title
Melanoma diagnosis using deep learning techniques on dermatoscopic images
Published in
BMC Medical Imaging, January 2021
DOI 10.1186/s12880-020-00534-8
Pubmed ID
Authors

Mario Fernando Jojoa Acosta, Liesle Yail Caballero Tovar, Maria Begonya Garcia-Zapirain, Winston Spencer Percybrooks

Twitter Demographics

The data shown below were collected from the profiles of 2 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 10 10%
Student > Ph. D. Student 7 7%
Student > Master 6 6%
Student > Bachelor 5 5%
Researcher 4 4%
Other 5 5%
Unknown 65 64%
Readers by discipline Count As %
Unspecified 10 10%
Computer Science 10 10%
Engineering 6 6%
Business, Management and Accounting 3 3%
Nursing and Health Professions 2 2%
Other 7 7%
Unknown 64 63%

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 09 January 2021.
All research outputs
#15,992,648
of 19,914,721 outputs
Outputs from BMC Medical Imaging
#292
of 478 outputs
Outputs of similar age
#346,999
of 470,617 outputs
Outputs of similar age from BMC Medical Imaging
#20
of 62 outputs
Altmetric has tracked 19,914,721 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 478 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 23rd percentile – i.e., 23% 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 470,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.