↓ Skip to main content

Local spatial autocorrelation statistics quantify multi-scale patterns in distributional data: an example from the Maya Lowlands

Overview of attention for article published in Journal of Archaeological Science, July 2004
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
168 Mendeley
citeulike
2 CiteULike
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.
Article details
Title
Local spatial autocorrelation statistics quantify multi-scale patterns in distributional data: an example from the Maya Lowlands
Published in
Journal of Archaeological Science, July 2004
DOI 10.1016/j.jas.2003.12.002
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 7 4%
United Kingdom 4 2%
Portugal 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Greece 1 <1%
Spain 1 <1%
Germany 1 <1%
Chile 1 <1%
Other 5 3%
Unknown 145 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 51 30%
Researcher 41 24%
Student > Master 19 11%
Student > Doctoral Student 12 7%
Professor > Associate Professor 10 6%
Other 17 10%
Unknown 18 11%
Readers by discipline
Readers by discipline Count As %
Social Sciences 56 33%
Arts and Humanities 29 17%
Agricultural and Biological Sciences 20 12%
Environmental Science 15 9%
Earth and Planetary Sciences 9 5%
Other 13 8%
Unknown 26 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 March 2020.
All research outputs
#19,158,240
of 27,783,697 outputs
Outputs from Journal of Archaeological Science
#2,271
of 3,149 outputs
Outputs of similar age
#60,205
of 66,062 outputs
Outputs of similar age from Journal of Archaeological Science
#11
of 13 outputs
Altmetric has tracked 27,783,697 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,149 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 66,062 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.