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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Chinese herbal medicines in the treatment of ulcerative colitis: a review
|
|---|---|
| Published in |
Chinese Medicine, April 2022
|
| DOI | 10.1186/s13020-022-00591-x |
| Pubmed ID | |
| Authors |
Xuan Zhang, Lin Zhang, Jacky C. P. Chan, Xihong Wang, Chenchen Zhao, Ying Xu, Weifeng Xiong, Wai Chak Chung, Feng Liang, Xu Wang, Jiangxia Miao, Zhaoxiang Bian |
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 % |
|---|---|---|
| Unknown | 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 12% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 8 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 18% |
| Unspecified | 2 | 12% |
| Nursing and Health Professions | 2 | 12% |
| Computer Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 12 July 2022.
All research outputs
#3,713,122
of 25,392,582 outputs
Outputs from Chinese Medicine
#67
of 660 outputs
Outputs of similar age
#82,939
of 447,498 outputs
Outputs of similar age from Chinese Medicine
#4
of 28 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 89% 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 447,498 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.