↓ Skip to main content

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

Overview of attention for article published in Science, September 2018
Altmetric Badge

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
58 news outlets
blogs
10 blogs
policy
1 policy source
twitter
260 tweeters
facebook
4 Facebook pages
googleplus
4 Google+ users
reddit
1 Redditor
video
1 video uploader

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
118 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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.

Twitter Demographics

The data shown below were collected from the profiles of 260 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 25%
Researcher 19 16%
Student > Master 13 11%
Student > Doctoral Student 10 8%
Professor 9 8%
Other 20 17%
Unknown 18 15%
Readers by discipline Count As %
Social Sciences 20 17%
Agricultural and Biological Sciences 15 13%
Arts and Humanities 11 9%
Environmental Science 11 9%
Earth and Planetary Sciences 11 9%
Other 28 24%
Unknown 22 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 715. 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 03 July 2020.
All research outputs
#12,129
of 15,880,245 outputs
Outputs from Science
#731
of 67,834 outputs
Outputs of similar age
#388
of 278,457 outputs
Outputs of similar age from Science
#31
of 1,171 outputs
Altmetric has tracked 15,880,245 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 67,834 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 51.3. 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 278,457 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 1,171 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.