The data shown below were collected from the profiles of 33 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 |
Accelerating the discovery of new Nasca geoglyphs using deep learning
|
|---|---|
| Published in |
Journal of Archaeological Science, July 2023
|
| DOI | 10.1016/j.jas.2023.105777 |
| Authors |
Masato Sakai, Yiru Lai, Jorge Olano Canales, Masao Hayashi, Kohhei Nomura |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| India | 1 | 3% |
| Japan | 1 | 3% |
| Poland | 1 | 3% |
| Greece | 1 | 3% |
| Unknown | 28 | 85% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 82% |
| Scientists | 4 | 12% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 6% |
| Professor | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Lecturer | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 12 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 2 | 12% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Computer Science | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 706. 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 26 August 2024.
All research outputs
#31,279
of 26,557,909 outputs
Outputs from Journal of Archaeological Science
#7
of 3,101 outputs
Outputs of similar age
#823
of 381,938 outputs
Outputs of similar age from Journal of Archaeological Science
#1
of 24 outputs
Altmetric has tracked 26,557,909 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 3,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has done particularly well, scoring higher than 99% 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 381,938 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 24 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 95% of its contemporaries.