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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of lncRNAs associated with the pathogenesis of ankylosing spondylitis
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, March 2021
|
| DOI | 10.1186/s12891-021-04119-6 |
| Pubmed ID | |
| Authors |
Dan Huang, Jian Liu, Lei Wan, Yanyan Fang, Yan Long, Ying Zhang, Bingxi Bao |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 1 | 25% |
| Poland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 18% |
| Lecturer | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Master | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 27% |
| Nursing and Health Professions | 1 | 9% |
| Economics, Econometrics and Finance | 1 | 9% |
| Computer Science | 1 | 9% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 March 2021.
All research outputs
#13,499,698
of 23,287,285 outputs
Outputs from BMC Musculoskeletal Disorders
#1,878
of 4,132 outputs
Outputs of similar age
#198,484
of 423,010 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#38
of 98 outputs
Altmetric has tracked 23,287,285 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,132 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 53% 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 423,010 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 52% of its contemporaries.
We're also able to compare this research output to 98 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 61% of its contemporaries.