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Attention Score in Context
| Title |
Technical note: A linear model for predicting δ13Cprotein
|
|---|---|
| Published in |
American Journal of Physical Anthropology, March 2015
|
| DOI | 10.1002/ajpa.22743 |
| Pubmed ID | |
| Authors |
William J Pestle, Mark Hubbe, Erin K Smith, Joseph M Stevenson |
| Abstract |
Development of a model for the prediction of δ(13) Cprotein from δ(13) Ccollagen and Δ(13) Cap-co . Model-generated values could, in turn, serve as "consumer" inputs for multisource mixture modeling of paleodiet. Linear regression analysis of previously published controlled diet data facilitated the development of a mathematical model for predicting δ(13) Cprotein (and an experimentally generated error term) from isotopic data routinely generated during the analysis of osseous remains (δ(13) Cco and Δ(13) Cap-co ). Regression analysis resulted in a two-term linear model (δ(13) Cprotein (%) = (0.78 × δ(13) Cco ) - (0.58× Δ(13) Cap-co ) - 4.7), possessing a high R-value of 0.93 (r(2) = 0.86, P < 0.01), and experimentally generated error terms of ±1.9% for any predicted individual value of δ(13) Cprotein . This model was tested using isotopic data from Formative Period individuals from northern Chile's Atacama Desert. The model presented here appears to hold significant potential for the prediction of the carbon isotope signature of dietary protein using only such data as is routinely generated in the course of stable isotope analysis of human osseous remains. These predicted values are ideal for use in multisource mixture modeling of dietary protein source contribution. Am J Phys Anthropol, 2015. © 2015 Wiley Periodicals, Inc. |
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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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 20% |
| Student > Bachelor | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Librarian | 1 | 4% |
| Other | 6 | 24% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 5 | 20% |
| Agricultural and Biological Sciences | 4 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Arts and Humanities | 2 | 8% |
| Environmental Science | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 6 | 24% |
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 27 March 2015.
All research outputs
#22,694,404
of 27,782,313 outputs
Outputs from American Journal of Physical Anthropology
#3,584
of 4,039 outputs
Outputs of similar age
#212,560
of 281,191 outputs
Outputs of similar age from American Journal of Physical Anthropology
#43
of 54 outputs
Altmetric has tracked 27,782,313 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 4th percentile – i.e., 4% 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 281,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.