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Comparative analysis of deep learning image detection algorithms

Overview of attention for article published in Journal of Big Data, May 2021
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Mentioned by

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1 X user

Citations

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147 Dimensions

Readers on

mendeley
446 Mendeley
Title
Comparative analysis of deep learning image detection algorithms
Published in
Journal of Big Data, May 2021
DOI 10.1186/s40537-021-00434-w
Authors

Shrey Srivastava, Amit Vishvas Divekar, Chandu Anilkumar, Ishika Naik, Ved Kulkarni, V. Pattabiraman

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 446 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 446 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 39 9%
Student > Ph. D. Student 31 7%
Student > Master 30 7%
Lecturer 19 4%
Student > Doctoral Student 14 3%
Other 53 12%
Unknown 260 58%
Readers by discipline Count As %
Computer Science 91 20%
Engineering 49 11%
Unspecified 8 2%
Social Sciences 3 <1%
Medicine and Dentistry 3 <1%
Other 26 6%
Unknown 266 60%
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 04 July 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from Journal of Big Data
#269
of 351 outputs
Outputs of similar age
#320,664
of 440,473 outputs
Outputs of similar age from Journal of Big Data
#11
of 13 outputs
Altmetric has tracked 23,308,124 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 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 5th percentile – i.e., 5% 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 440,473 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 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.