| Title |
Ancient Maya wetland fields revealed under tropical forest canopy from laser scanning and multiproxy evidence
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, October 2019
|
| DOI | 10.1073/pnas.1910553116 |
| Pubmed ID | |
| Authors |
Timothy Beach, Sheryl Luzzadder-Beach, Samantha Krause, Tom Guderjan, Fred Valdez, Juan Carlos Fernandez-Diaz, Sara Eshleman, Colin Doyle |
X Demographics
The data shown below were collected from the profiles of 61 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 30% |
| Spain | 7 | 11% |
| United Kingdom | 3 | 5% |
| Mexico | 2 | 3% |
| Japan | 2 | 3% |
| Georgia | 1 | 2% |
| Italy | 1 | 2% |
| India | 1 | 2% |
| Colombia | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 24 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 80% |
| Scientists | 8 | 13% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Researcher | 20 | 21% |
| Student > Master | 9 | 9% |
| Professor | 6 | 6% |
| Professor > Associate Professor | 6 | 6% |
| Other | 17 | 18% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 19% |
| Social Sciences | 12 | 13% |
| Environmental Science | 11 | 12% |
| Arts and Humanities | 10 | 11% |
| Earth and Planetary Sciences | 9 | 9% |
| Other | 13 | 14% |
| Unknown | 22 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 229. 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 12 October 2022.
All research outputs
#163,515
of 25,152,132 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#3,219
of 102,461 outputs
Outputs of similar age
#3,324
of 358,967 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#71
of 915 outputs
Altmetric has tracked 25,152,132 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 102,461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.1. This one has done particularly well, scoring higher than 96% 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 358,967 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 915 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 92% of its contemporaries.