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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning in TCM with natural products and molecules: current status and future perspectives
|
|---|---|
| Published in |
Chinese Medicine, April 2023
|
| DOI | 10.1186/s13020-023-00741-9 |
| Pubmed ID | |
| Authors |
Suya Ma, Jinlei Liu, Wenhua Li, Yongmei Liu, Xiaoshan Hui, Peirong Qu, Zhilin Jiang, Jun Li, Jie Wang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 11% |
| Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Unknown | 13 | 72% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 11% |
| Environmental Science | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 13 | 72% |
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 23 April 2023.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from Chinese Medicine
#517
of 660 outputs
Outputs of similar age
#351,459
of 412,917 outputs
Outputs of similar age from Chinese Medicine
#15
of 25 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 412,917 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.