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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Acupuncture for cancer pain: an evidence-based clinical practice guideline
|
|---|---|
| Published in |
Chinese Medicine, January 2022
|
| DOI | 10.1186/s13020-021-00558-4 |
| Pubmed ID | |
| Authors |
Long Ge, Qi Wang, Yihan He, Darong Wu, Qi Zhou, Nenggui Xu, Kehu Yang, Yaolong Chen, Anthony Lin Zhang, Haiqing Hua, Jinchang Huang, Ka-Kit Hui, Fanrong Liang, Linpeng Wang, Bin Xu, Yufei Yang, Weimin Zhang, Baixiao Zhao, Bing Zhu, Xinfeng Guo, Charlie Changli Xue, Haibo Zhang |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 8 | 53% |
| France | 2 | 13% |
| Switzerland | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 93% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 12% |
| Student > Doctoral Student | 4 | 5% |
| Student > Master | 4 | 5% |
| Lecturer | 3 | 4% |
| Researcher | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 46 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 13% |
| Nursing and Health Professions | 9 | 12% |
| Social Sciences | 3 | 4% |
| Decision Sciences | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 47 | 63% |
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 06 November 2023.
All research outputs
#4,232,086
of 25,392,582 outputs
Outputs from Chinese Medicine
#79
of 660 outputs
Outputs of similar age
#96,736
of 515,563 outputs
Outputs of similar age from Chinese Medicine
#5
of 27 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 83rd 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 88% 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 515,563 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 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.