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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metabolic Disease Risk in Children by Salivary Biomarker Analysis
|
|---|---|
| Published in |
PLOS ONE, June 2014
|
| DOI | 10.1371/journal.pone.0098799 |
| Pubmed ID | |
| Authors |
J. Max Goodson, Alpdogan Kantarci, Mor-Li Hartman, Gerald V. Denis, Danielle Stephens, Hatice Hasturk, Tina Yaskell, Jorel Vargas, Xiaoshan Wang, Maryann Cugini, Roula Barake, Osama Alsmadi, Sabiha Al-Mutawa, Jitendra Ariga, Pramod Soparkar, Jawad Behbehani, Kazem Behbehani, Francine Welty |
| Abstract |
The study of obesity-related metabolic syndrome or Type 2 diabetes (T2D) in children is particularly difficult because of fear of needles. We tested a non-invasive approach to study inflammatory parameters in an at-risk population of children to provide proof-of-principle for future investigations of vulnerable subjects. |
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 % |
|---|---|---|
| Hungary | 1 | 33% |
| South Africa | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 169 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 19% |
| Student > Bachelor | 26 | 15% |
| Student > Master | 19 | 11% |
| Researcher | 16 | 9% |
| Student > Postgraduate | 12 | 7% |
| Other | 30 | 18% |
| Unknown | 35 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 26% |
| Agricultural and Biological Sciences | 20 | 12% |
| Biochemistry, Genetics and Molecular Biology | 15 | 9% |
| Psychology | 8 | 5% |
| Nursing and Health Professions | 7 | 4% |
| Other | 28 | 16% |
| Unknown | 48 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 28 April 2017.
All research outputs
#1,306,365
of 25,837,817 outputs
Outputs from PLOS ONE
#16,384
of 224,660 outputs
Outputs of similar age
#12,469
of 246,844 outputs
Outputs of similar age from PLOS ONE
#346
of 4,399 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 92% 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 246,844 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 4,399 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 92% of its contemporaries.