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Ancient lowland Maya complexity as revealed by airborne laser scanning of northern Guatemala

Overview of attention for article published in Science, September 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
71 news outlets
blogs
12 blogs
policy
1 policy source
twitter
231 X users
facebook
4 Facebook pages
wikipedia
1 Wikipedia page
googleplus
4 Google+ users
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
257 Dimensions

Readers on

mendeley
220 Mendeley
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Title
Ancient lowland Maya complexity as revealed by airborne laser scanning of northern Guatemala
Published in
Science, September 2018
DOI 10.1126/science.aau0137
Pubmed ID
Authors

Marcello A Canuto, Francisco Estrada-Belli, Thomas G Garrison, Stephen D Houston, Mary Jane Acuña, Milan Kováč, Damien Marken, Philippe Nondédéo, Luke Auld-Thomas, Cyril Castanet, David Chatelain, Carlos R Chiriboga, Tomáš Drápela, Tibor Lieskovský, Alexandre Tokovinine, Antolín Velasquez, Juan C Fernández-Díaz, Ramesh Shrestha

X Demographics

X Demographics

The data shown below were collected from the profiles of 231 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 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 220 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 20%
Researcher 29 13%
Student > Master 21 10%
Student > Bachelor 17 8%
Student > Doctoral Student 13 6%
Other 39 18%
Unknown 57 26%
Readers by discipline Count As %
Social Sciences 34 15%
Arts and Humanities 26 12%
Agricultural and Biological Sciences 20 9%
Engineering 19 9%
Earth and Planetary Sciences 18 8%
Other 41 19%
Unknown 62 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 793. 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 01 September 2023.
All research outputs
#24,934
of 26,108,988 outputs
Outputs from Science
#1,137
of 83,705 outputs
Outputs of similar age
#456
of 355,460 outputs
Outputs of similar age from Science
#35
of 1,227 outputs
Altmetric has tracked 26,108,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,705 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.3. This one has done particularly well, scoring higher than 98% 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 355,460 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,227 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.