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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The efficacy of using 3D printing models in the treatment of fractures: a randomised clinical trial
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, February 2019
|
| DOI | 10.1186/s12891-019-2448-9 |
| Pubmed ID | |
| Authors |
Chunhui Chen, Leyi Cai, Wenhao Zheng, Jianshun Wang, Xiaoshan Guo, Hua Chen |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Netherlands | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Practitioners (doctors, other healthcare professionals) | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 13% |
| Student > Bachelor | 20 | 12% |
| Student > Master | 17 | 10% |
| Student > Ph. D. Student | 11 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Other | 21 | 13% |
| Unknown | 65 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 31% |
| Nursing and Health Professions | 13 | 8% |
| Engineering | 9 | 5% |
| Sports and Recreations | 3 | 2% |
| Design | 3 | 2% |
| Other | 12 | 7% |
| Unknown | 74 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 May 2019.
All research outputs
#7,777,773
of 25,247,212 outputs
Outputs from BMC Musculoskeletal Disorders
#1,478
of 4,384 outputs
Outputs of similar age
#151,745
of 452,529 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#33
of 78 outputs
Altmetric has tracked 25,247,212 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,384 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 65% 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 452,529 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 78 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 58% of its contemporaries.