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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank
|
|---|---|
| Published in |
BMC Medicine, January 2023
|
| DOI | 10.1186/s12916-022-02684-8 |
| Pubmed ID | |
| Authors |
Rachel Marjorie Wei Wen Tseng, Tyler Hyungtaek Rim, Eduard Shantsila, Joseph K. Yi, Sungha Park, Sung Soo Kim, Chan Joo Lee, Sahil Thakur, Simon Nusinovici, Qingsheng Peng, Hyeonmin Kim, Geunyoung Lee, Marco Yu, Yih-Chung Tham, Ameet Bakhai, Paul Leeson, Gregory Y.H. Lip, Tien Yin Wong, Ching-Yu Cheng |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Japan | 1 | 13% |
| Egypt | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 11% |
| Librarian | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Researcher | 2 | 7% |
| Professor | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 15 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 14% |
| Computer Science | 2 | 7% |
| Arts and Humanities | 1 | 4% |
| Environmental Science | 1 | 4% |
| Chemical Engineering | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 17 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 30 July 2023.
All research outputs
#6,886,071
of 24,212,485 outputs
Outputs from BMC Medicine
#2,595
of 3,703 outputs
Outputs of similar age
#124,676
of 439,194 outputs
Outputs of similar age from BMC Medicine
#57
of 107 outputs
Altmetric has tracked 24,212,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,703 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.4. This one is in the 29th percentile – i.e., 29% 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 439,194 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 71% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.