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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prospective validation of the BOADICEA multifactorial breast cancer risk prediction model in a large prospective cohort study
|
|---|---|
| Published in |
Journal of Medical Genetics, September 2022
|
| DOI | 10.1136/jmg-2022-108806 |
| Pubmed ID | |
| Authors |
Xin Yang, Mikael Eriksson, Kamila Czene, Andrew Lee, Goska Leslie, Michael Lush, Jean Wang, Joe Dennis, Leila Dorling, Sara Carvalho, Nasim Mavaddat, Jacques Simard, Marjanka K Schmidt, Douglas F Easton, Per Hall, Antonis C Antoniou |
X Demographics
The data shown below were collected from the profiles of 32 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 | 11 | 34% |
| United States | 5 | 16% |
| France | 1 | 3% |
| Australia | 1 | 3% |
| Germany | 1 | 3% |
| Netherlands | 1 | 3% |
| Canada | 1 | 3% |
| Japan | 1 | 3% |
| Spain | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 47% |
| Scientists | 15 | 47% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
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 % |
|---|---|---|
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Unspecified | 3 | 6% |
| Professor | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 22 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 27% |
| Engineering | 3 | 6% |
| Computer Science | 3 | 6% |
| Unspecified | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 23 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 26 April 2023.
All research outputs
#1,410,441
of 25,390,692 outputs
Outputs from Journal of Medical Genetics
#98
of 3,120 outputs
Outputs of similar age
#30,235
of 431,662 outputs
Outputs of similar age from Journal of Medical Genetics
#5
of 31 outputs
Altmetric has tracked 25,390,692 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 3,120 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 96% 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 431,662 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 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.