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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
232 X users
facebook
4 Facebook pages
wikipedia
1 Wikipedia page
googleplus
4 Google+ users
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
254 Dimensions

Readers on

mendeley
217 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

Abstract

Lowland Maya civilization flourished in the tropical region of the Yucatan peninsula and environs for more than 2500 years (~1000 BCE to 1500 CE). Known for its sophistication in writing, art, architecture, astronomy, and mathematics, Maya civilization still poses questions about the nature of its cities and surrounding populations because of its location in an inaccessible forest. In 2016, an aerial lidar survey across 2144 square kilometers of northern Guatemala mapped natural terrain and archaeological features over several distinct areas. We present results from these data, revealing interconnected urban settlement and landscapes with extensive infrastructural development. Studied through a joint international effort of interdisciplinary teams sharing protocols, this lidar survey compels a reevaluation of Maya demography, agriculture, and political economy and suggests future avenues of field research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 232 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 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 217 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 20%
Researcher 28 13%
Student > Master 21 10%
Student > Bachelor 17 8%
Student > Doctoral Student 13 6%
Other 42 19%
Unknown 52 24%
Readers by discipline Count As %
Social Sciences 34 16%
Arts and Humanities 26 12%
Agricultural and Biological Sciences 19 9%
Engineering 19 9%
Earth and Planetary Sciences 18 8%
Other 44 20%
Unknown 57 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 790. 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
#24,606
of 25,800,372 outputs
Outputs from Science
#1,131
of 83,305 outputs
Outputs of similar age
#461
of 353,109 outputs
Outputs of similar age from Science
#35
of 1,227 outputs
Altmetric has tracked 25,800,372 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 83,305 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.1. 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 353,109 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.