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X Demographics
Mendeley readers
Attention Score in Context
Title |
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
|
---|---|
Published in |
Genetics in Medicine, January 2019
|
DOI | 10.1038/s41436-018-0406-9 |
Pubmed ID | |
Authors |
Andrew Lee, Nasim Mavaddat, Amber N. Wilcox, Alex P. Cunningham, Tim Carver, Simon Hartley, Chantal Babb de Villiers, Angel Izquierdo, Jacques Simard, Marjanka K. Schmidt, Fiona M. Walter, Nilanjan Chatterjee, Montserrat Garcia-Closas, Marc Tischkowitz, Paul Pharoah, Douglas F. Easton, Antonis C. Antoniou |
X Demographics
The data shown below were collected from the profiles of 118 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 | 38 | 32% |
United States | 24 | 20% |
Australia | 3 | 3% |
Switzerland | 2 | 2% |
Curaçao | 1 | <1% |
Taiwan | 1 | <1% |
Qatar | 1 | <1% |
Cyprus | 1 | <1% |
Norway | 1 | <1% |
Other | 8 | 7% |
Unknown | 38 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 58 | 49% |
Scientists | 43 | 36% |
Practitioners (doctors, other healthcare professionals) | 13 | 11% |
Science communicators (journalists, bloggers, editors) | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 493 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 493 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 71 | 14% |
Student > Ph. D. Student | 53 | 11% |
Student > Master | 52 | 11% |
Student > Bachelor | 42 | 9% |
Other | 25 | 5% |
Other | 81 | 16% |
Unknown | 169 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 107 | 22% |
Biochemistry, Genetics and Molecular Biology | 80 | 16% |
Agricultural and Biological Sciences | 28 | 6% |
Computer Science | 22 | 4% |
Nursing and Health Professions | 17 | 3% |
Other | 57 | 12% |
Unknown | 182 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 385. 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 2023.
All research outputs
#81,204
of 25,837,817 outputs
Outputs from Genetics in Medicine
#12
of 2,970 outputs
Outputs of similar age
#1,634
of 467,632 outputs
Outputs of similar age from Genetics in Medicine
#1
of 69 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done particularly well, scoring higher than 99% 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 467,632 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 99% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.