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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From non-targeted to targeted GC–MS metabolomics strategy for identification of TCM preparations containing natural and artificial musk
|
|---|---|
| Published in |
Chinese Medicine, April 2022
|
| DOI | 10.1186/s13020-022-00594-8 |
| Pubmed ID | |
| Authors |
Meng Ding, Jun-Li Fan, Dong-Fang Huang, Yue Jiang, Meng-Ning Li, Yu-Qing Zheng, Xiao-Ping Yang, Ping Li, Hua Yang |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 17% |
| Researcher | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 1 | 17% |
| Chemistry | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Engineering | 1 | 17% |
| Unknown | 2 | 33% |
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 03 April 2022.
All research outputs
#20,673,680
of 25,392,582 outputs
Outputs from Chinese Medicine
#424
of 660 outputs
Outputs of similar age
#335,011
of 447,757 outputs
Outputs of similar age from Chinese Medicine
#15
of 27 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 21st percentile – i.e., 21% 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 447,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.