| Title |
Classifying agency in bone breakage: an experimental analysis of fracture planes to differentiate between hominin and carnivore dynamic and static loading using machine learning (ML) algorithms
|
|---|---|
| Published in |
Archaeological and Anthropological Sciences, March 2019
|
| DOI | 10.1007/s12520-019-00815-6 |
| Authors |
Abel Moclán, Manuel Domínguez-Rodrigo, José Yravedra |
X Demographics
The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 12 | 22% |
| United States | 10 | 19% |
| Australia | 2 | 4% |
| United Kingdom | 2 | 4% |
| Switzerland | 1 | 2% |
| Nepal | 1 | 2% |
| South Africa | 1 | 2% |
| Canada | 1 | 2% |
| Italy | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 18 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 80% |
| Scientists | 8 | 15% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 18% |
| Student > Master | 9 | 16% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Professor | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 20 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 16 | 29% |
| Social Sciences | 6 | 11% |
| Earth and Planetary Sciences | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 25 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 07 April 2022.
All research outputs
#840,341
of 25,058,309 outputs
Outputs from Archaeological and Anthropological Sciences
#46
of 931 outputs
Outputs of similar age
#19,595
of 358,012 outputs
Outputs of similar age from Archaeological and Anthropological Sciences
#2
of 26 outputs
Altmetric has tracked 25,058,309 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done particularly well, scoring higher than 95% 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 358,012 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 94% of its contemporaries.
We're also able to compare this research output to 26 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 96% of its contemporaries.