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Prediction of airborne nanoparticles at roadside location using a feed–forward artificial neural network

Overview of attention for article published in Atmospheric Pollution Research, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

policy
1 policy source

Readers on

mendeley
47 Mendeley
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Article details
Title
Prediction of airborne nanoparticles at roadside location using a feed–forward artificial neural network
Published in
Atmospheric Pollution Research, May 2017
DOI 10.1016/j.apr.2016.11.004
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 8 17%
Researcher 6 13%
Other 3 6%
Lecturer > Senior Lecturer 2 4%
Other 5 11%
Unknown 13 28%
Readers by discipline
Readers by discipline Count As %
Computer Science 8 17%
Engineering 8 17%
Environmental Science 5 11%
Medicine and Dentistry 3 6%
Agricultural and Biological Sciences 2 4%
Other 5 11%
Unknown 16 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 January 2023.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Atmospheric Pollution Research
#129
of 499 outputs
Outputs of similar age
#130,692
of 327,148 outputs
Outputs of similar age from Atmospheric Pollution Research
#1
of 4 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 499 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 57% 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 327,148 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 4 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