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Machine learning as a tool for classifying electron tomographic reconstructions

Overview of attention for article published in Advanced Structural and Chemical Imaging, August 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
31 Mendeley
Title
Machine learning as a tool for classifying electron tomographic reconstructions
Published in
Advanced Structural and Chemical Imaging, August 2015
DOI 10.1186/s40679-015-0010-x
Authors

Lech Staniewicz, Paul A. Midgley

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 5 16%
Student > Ph. D. Student 5 16%
Professor > Associate Professor 3 10%
Unspecified 2 6%
Other 2 6%
Unknown 7 23%
Readers by discipline Count As %
Materials Science 9 29%
Engineering 6 19%
Unspecified 2 6%
Agricultural and Biological Sciences 1 3%
Medicine and Dentistry 1 3%
Other 3 10%
Unknown 9 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 August 2015.
All research outputs
#6,036,863
of 23,312,088 outputs
Outputs from Advanced Structural and Chemical Imaging
#11
of 31 outputs
Outputs of similar age
#67,965
of 265,202 outputs
Outputs of similar age from Advanced Structural and Chemical Imaging
#2
of 3 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 31 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one scored the same or higher as 20 of them.
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 265,202 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 74% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.