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Application of artificial neural network model in diagnosis of Alzheimer’s disease

Overview of attention for article published in BMC Neurology, July 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Readers on

mendeley
12 Mendeley
Title
Application of artificial neural network model in diagnosis of Alzheimer’s disease
Published in
BMC Neurology, July 2019
DOI 10.1186/s12883-019-1377-4
Pubmed ID
Authors

Naibo Wang, Jinghua Chen, Hui Xiao, Lei Wu, Han Jiang, Yueping Zhou

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 33%
Unspecified 2 17%
Student > Ph. D. Student 2 17%
Student > Master 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Unspecified 2 17%
Medicine and Dentistry 2 17%
Nursing and Health Professions 2 17%
Computer Science 1 8%
Chemistry 1 8%
Other 2 17%
Unknown 2 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 18 July 2019.
All research outputs
#1,622,039
of 14,137,193 outputs
Outputs from BMC Neurology
#204
of 1,627 outputs
Outputs of similar age
#46,278
of 253,885 outputs
Outputs of similar age from BMC Neurology
#1
of 1 outputs
Altmetric has tracked 14,137,193 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,627 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 86% 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 253,885 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them