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Deep Learning Detection and Recognition of Spot Elevations on Historical Topographic Maps

Overview of attention for article published in Frontiers in Environmental Science, February 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Deep Learning Detection and Recognition of Spot Elevations on Historical Topographic Maps
Published in
Frontiers in Environmental Science, February 2022
DOI 10.3389/fenvs.2022.804155
Authors

Samantha T. Arundel, Trenton P. Morgan, Phillip T. Thiem

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 33%
Researcher 1 11%
Unspecified 1 11%
Unknown 4 44%
Readers by discipline Count As %
Earth and Planetary Sciences 2 22%
Unspecified 1 11%
Psychology 1 11%
Social Sciences 1 11%
Unknown 4 44%
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 20 February 2022.
All research outputs
#19,416,201
of 23,885,338 outputs
Outputs from Frontiers in Environmental Science
#1,515
of 4,017 outputs
Outputs of similar age
#318,639
of 428,990 outputs
Outputs of similar age from Frontiers in Environmental Science
#111
of 401 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,017 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 46th percentile – i.e., 46% 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 428,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 401 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.