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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating metabolomic data with machine learning approach for discovery of Q-markers from Jinqi Jiangtang preparation against type 2 diabetes
|
|---|---|
| Published in |
Chinese Medicine, March 2021
|
| DOI | 10.1186/s13020-021-00438-x |
| Pubmed ID | |
| Authors |
Lele Yang, Yan Xue, Jinchao Wei, Qi Dai, Peng Li |
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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Master | 2 | 5% |
| Other | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 18 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Computer Science | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 19 | 51% |
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 21 March 2021.
All research outputs
#19,957,118
of 25,387,668 outputs
Outputs from Chinese Medicine
#404
of 660 outputs
Outputs of similar age
#328,615
of 453,142 outputs
Outputs of similar age from Chinese Medicine
#6
of 9 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 35th percentile – i.e., 35% 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 453,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.