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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2022
|
| DOI | 10.1186/s12967-022-03822-9 |
| Pubmed ID | |
| Authors |
Jiaxin Li, Cong Li, Yu Huang, Peng Guan, Desheng Huang, Honghua Yu, Xiaohong Yang, Lei Liu |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Unknown | 3 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 3 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 December 2022.
All research outputs
#18,786,554
of 23,946,786 outputs
Outputs from Journal of Translational Medicine
#2,924
of 4,247 outputs
Outputs of similar age
#300,231
of 439,802 outputs
Outputs of similar age from Journal of Translational Medicine
#91
of 135 outputs
Altmetric has tracked 23,946,786 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,247 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 439,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.