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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MRI contributes to accurate and early diagnosis of non-radiographic HLA-B27 negative axial spondyloarthritis
|
|---|---|
| Published in |
Journal of Translational Medicine, July 2021
|
| DOI | 10.1186/s12967-021-02959-3 |
| Pubmed ID | |
| Authors |
Chun-Chi Lu, Guo-Shu Huang, Tony Szu-Hsien Lee, En Chao, Hsiang-Cheng Chen, Yong-Si Guo, Shi-Jye Chu, Feng-Cheng Liu, San-Yuan Kao, Tsung-Yun Hou, Chen-Hung Chen, Deh-Ming Chang, Sin-Yi Lyu |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 27% |
| Ireland | 2 | 18% |
| Australia | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 27% |
| Other | 2 | 13% |
| Lecturer | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Professor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 33% |
| Agricultural and Biological Sciences | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 December 2021.
All research outputs
#5,612,714
of 23,577,654 outputs
Outputs from Journal of Translational Medicine
#875
of 4,186 outputs
Outputs of similar age
#113,244
of 440,765 outputs
Outputs of similar age from Journal of Translational Medicine
#14
of 105 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 78% 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 440,765 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 74% of its contemporaries.
We're also able to compare this research output to 105 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.