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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The effect of CTLA-4 A49G polymorphism on rheumatoid arthritis risk: a meta-analysis
|
|---|---|
| Published in |
Diagnostic Pathology, August 2014
|
| DOI | 10.1186/s13000-014-0157-0 |
| Pubmed ID | |
| Authors |
Gang Li, Fengjun Shi, Jingchen Liu, Ye Li |
| Abstract |
Recently, a number of studies have been performed to explore the association between CTLA-4 A49G polymorphism and rheumatoid arthritis (RA). However, the results of previous works are still controversial and ambiguous. |
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 % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 3% |
| Sweden | 1 | 3% |
| Unknown | 27 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 9 | 31% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 38% |
| Environmental Science | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Unspecified | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 7 | 24% |
| Unknown | 7 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 September 2014.
All research outputs
#14,198,795
of 22,760,687 outputs
Outputs from Diagnostic Pathology
#420
of 1,122 outputs
Outputs of similar age
#107,942
of 209,866 outputs
Outputs of similar age from Diagnostic Pathology
#7
of 32 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 57% 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 209,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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 68% of its contemporaries.