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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mathematical model insights into arsenic detoxification
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, August 2011
|
| DOI | 10.1186/1742-4682-8-31 |
| Pubmed ID | |
| Authors |
Sean D Lawley, Molly Cinderella, Megan N Hall, Mary V Gamble, H Frederik Nijhout, Michael C Reed |
| Abstract |
Arsenic in drinking water, a major health hazard to millions of people in South and East Asia and in other parts of the world, is ingested primarily as trivalent inorganic arsenic (iAs), which then undergoes hepatic methylation to methylarsonic acid (MMAs) and a second methylation to dimethylarsinic acid (DMAs). Although MMAs and DMAs are also known to be toxic, DMAs is more easily excreted in the urine and therefore methylation has generally been considered a detoxification pathway. A collaborative modeling project between epidemiologists, biologists, and mathematicians has the purpose of explaining existing data on methylation in human studies in Bangladesh and also testing, by mathematical modeling, effects of nutritional supplements that could increase As methylation. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| France | 1 | 3% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 26% |
| Researcher | 6 | 19% |
| Student > Ph. D. Student | 4 | 13% |
| Professor | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 19% |
| Agricultural and Biological Sciences | 5 | 16% |
| Engineering | 2 | 6% |
| Social Sciences | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 9 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 October 2011.
All research outputs
#13,122,371
of 22,651,245 outputs
Outputs from Theoretical Biology and Medical Modelling
#134
of 286 outputs
Outputs of similar age
#78,276
of 124,037 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 6 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 286 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 52% 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 124,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.