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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Overlap of high-risk individuals predicted by family history, and genetic and non-genetic breast cancer risk prediction models: implications for risk stratification
|
|---|---|
| Published in |
BMC Medicine, April 2022
|
| DOI | 10.1186/s12916-022-02334-z |
| Pubmed ID | |
| Authors |
Peh Joo Ho, Weang Kee Ho, Alexis J. Khng, Yen Shing Yeoh, Benita Kiat-Tee Tan, Ern Yu Tan, Geok Hoon Lim, Su-Ming Tan, Veronique Kiak Mien Tan, Cheng-Har Yip, Nur-Aishah Mohd-Taib, Fuh Yong Wong, Elaine Hsuen Lim, Joanne Ngeow, Wen Yee Chay, Lester Chee Hao Leong, Wei Sean Yong, Chin Mui Seah, Siau Wei Tang, Celene Wei Qi Ng, Zhiyan Yan, Jung Ah Lee, Kartini Rahmat, Tania Islam, Tiara Hassan, Mei-Chee Tai, Chiea Chuen Khor, Jian-Min Yuan, Woon-Puay Koh, Xueling Sim, Alison M. Dunning, Manjeet K. Bolla, Antonis C. Antoniou, Soo-Hwang Teo, Jingmei Li, Mikael Hartman |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 15% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Researcher | 3 | 9% |
| Other | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 14 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 15 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 October 2022.
All research outputs
#7,156,918
of 23,543,207 outputs
Outputs from BMC Medicine
#2,589
of 3,561 outputs
Outputs of similar age
#142,348
of 443,825 outputs
Outputs of similar age from BMC Medicine
#65
of 104 outputs
Altmetric has tracked 23,543,207 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,561 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. 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 443,825 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 67% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.