The data shown below were collected from the profiles of 230 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| 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
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 29 | 13% |
| Argentina | 10 | 4% |
| France | 10 | 4% |
| Mexico | 8 | 3% |
| United Kingdom | 6 | 3% |
| Spain | 5 | 2% |
| Germany | 3 | 1% |
| Brazil | 2 | <1% |
| Guatemala | 2 | <1% |
| Other | 15 | 7% |
| Unknown | 140 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 187 | 81% |
| Scientists | 35 | 15% |
| Science communicators (journalists, bloggers, editors) | 5 | 2% |
| Practitioners (doctors, other healthcare professionals) | 3 | 1% |
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 | 18 | 8% |
| Student > Doctoral Student | 13 | 6% |
| Other | 38 | 17% |
| Unknown | 57 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 35 | 16% |
| Arts and Humanities | 26 | 12% |
| Agricultural and Biological Sciences | 20 | 9% |
| Engineering | 19 | 9% |
| Earth and Planetary Sciences | 18 | 8% |
| Other | 40 | 18% |
| Unknown | 62 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 792. 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
#25,323
of 26,301,262 outputs
Outputs from Science
#1,146
of 83,832 outputs
Outputs of similar age
#457
of 355,838 outputs
Outputs of similar age from Science
#35
of 1,227 outputs
Altmetric has tracked 26,301,262 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 83,832 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.5. 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 355,838 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.