You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
WHO Trial Registration Data Set (TRDS) extension for traditional Chinese medicine 2020: recommendations, explanation, and elaboration
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2020
|
| DOI | 10.1186/s12874-020-01077-w |
| Pubmed ID | |
| Authors |
Xuan Zhang, Liang Lan, Jacky C. P. Chan, Linda L. D. Zhong, Chung-Wah Cheng, Wai-Ching Lam, Ran Tian, Chen Zhao, Tai-Xiang Wu, Hong-Cai Shang, Ai-Ping Lyu, Zhao-Xiang Bian |
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 % |
|---|---|---|
| France | 1 | 33% |
| United States | 1 | 33% |
| Philippines | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 23% |
| Student > Ph. D. Student | 3 | 23% |
| Student > Bachelor | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 31% |
| Nursing and Health Professions | 3 | 23% |
| Decision Sciences | 1 | 8% |
| Social Sciences | 1 | 8% |
| Materials Science | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 07 July 2021.
All research outputs
#3,818,744
of 23,221,875 outputs
Outputs from BMC Medical Research Methodology
#607
of 2,056 outputs
Outputs of similar age
#87,408
of 366,195 outputs
Outputs of similar age from BMC Medical Research Methodology
#29
of 68 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 69% 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 366,195 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 75% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.