| Title |
Characterization of ankylosing spondylitis and rheumatoid arthritis using 1H NMR-based metabolomics of human fecal extracts
|
|---|---|
| Published in |
Metabolomics, March 2016
|
| DOI | 10.1007/s11306-016-1000-2 |
| Authors |
Tie-juan Shao, Zhi-xing He, Zhi-jun Xie, Hai-chang Li, Mei-jiao Wang, Cheng-ping Wen |
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 % |
|---|---|---|
| Mexico | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 34 | 32% |
| Student > Ph. D. Student | 17 | 16% |
| Student > Master | 8 | 8% |
| Researcher | 6 | 6% |
| Other | 4 | 4% |
| Other | 7 | 7% |
| Unknown | 29 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 15% |
| Biochemistry, Genetics and Molecular Biology | 11 | 10% |
| Chemistry | 11 | 10% |
| Agricultural and Biological Sciences | 9 | 9% |
| Chemical Engineering | 5 | 5% |
| Other | 22 | 21% |
| Unknown | 31 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 July 2016.
All research outputs
#14,840,844
of 22,854,458 outputs
Outputs from Metabolomics
#838
of 1,295 outputs
Outputs of similar age
#168,295
of 299,380 outputs
Outputs of similar age from Metabolomics
#39
of 53 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 299,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.