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Attention Score in Context
| Title |
Aberrant Water Homeostasis Detected by Stable Isotope Analysis
|
|---|---|
| Published in |
PLOS ONE, July 2010
|
| DOI | 10.1371/journal.pone.0011699 |
| Pubmed ID | |
| Authors |
Shannon P. O'Grady, Adam R. Wende, Christopher H. Remien, Luciano O. Valenzuela, Lindsey E. Enright, Lesley A. Chesson, E. Dale Abel, Thure E. Cerling, James R. Ehleringer |
| Abstract |
While isotopes are frequently used as tracers in investigations of disease physiology (i.e., 14C labeled glucose), few studies have examined the impact that disease, and disease-related alterations in metabolism, may have on stable isotope ratios at natural abundance levels. The isotopic composition of body water is heavily influenced by water metabolism and dietary patterns and may provide a platform for disease detection. By utilizing a model of streptozotocin (STZ)-induced diabetes as an index case of aberrant water homeostasis, we demonstrate that untreated diabetes mellitus results in distinct combinations, or signatures, of the hydrogen (delta2H) and oxygen (delta18O) isotope ratios in body water. Additionally, we show that the delta2H and delta18O values of body water are correlated with increased water flux, suggesting altered blood osmolality, due to hyperglycemia, as the mechanism behind this correlation. Further, we present a mathematical model describing the impact of water flux on the isotopic composition of body water and compare model predicted values with actual values. These data highlight the importance of factors such as water flux and energy expenditure on predictive models of body water and additionally provide a framework for using naturally occurring stable isotope ratios to monitor diseases that impact water homeostasis. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bangladesh | 1 | 3% |
| Brazil | 1 | 3% |
| United Kingdom | 1 | 3% |
| Argentina | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 34 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 6 | 15% |
| Professor > Associate Professor | 5 | 13% |
| Student > Doctoral Student | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 10 | 26% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 31% |
| Environmental Science | 6 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Earth and Planetary Sciences | 4 | 10% |
| Medicine and Dentistry | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 5 | 13% |
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 24 December 2014.
All research outputs
#18,343,746
of 22,716,996 outputs
Outputs from PLOS ONE
#154,155
of 193,928 outputs
Outputs of similar age
#84,850
of 94,468 outputs
Outputs of similar age from PLOS ONE
#689
of 748 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,928 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 94,468 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 748 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.