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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Family history assessment significantly enhances delivery of precision medicine in the genomics era
|
|---|---|
| Published in |
Genome Medicine, January 2021
|
| DOI | 10.1186/s13073-020-00819-1 |
| Pubmed ID | |
| Authors |
Yasmin Bylstra, Weng Khong Lim, Sylvia Kam, Koei Wan Tham, R. Ryanne Wu, Jing Xian Teo, Sonia Davila, Jyn Ling Kuan, Sock Hoai Chan, Nicolas Bertin, Cheng Xi Yang, Steve Rozen, Bin Tean Teh, Khung Keong Yeo, Stuart Alexander Cook, Saumya Shekhar Jamuar, Geoffrey S. Ginsburg, Lori A. Orlando, Patrick Tan |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
| United Kingdom | 2 | 11% |
| Australia | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 44% |
| Members of the public | 8 | 44% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Professor > Associate Professor | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Student > Master | 4 | 8% |
| Professor | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 16 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 22% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Computer Science | 2 | 4% |
| Engineering | 2 | 4% |
| Economics, Econometrics and Finance | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 20 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 28 November 2022.
All research outputs
#1,423,820
of 24,385,762 outputs
Outputs from Genome Medicine
#307
of 1,503 outputs
Outputs of similar age
#39,300
of 512,130 outputs
Outputs of similar age from Genome Medicine
#12
of 44 outputs
Altmetric has tracked 24,385,762 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done well, scoring higher than 79% 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 512,130 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.