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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors
|
|---|---|
| Published in |
Journal of Medical Genetics, November 2021
|
| DOI | 10.1136/jmedgenet-2021-107904 |
| Pubmed ID | |
| Authors |
Andrew Lee, Xin Yang, Jonathan Tyrer, Aleksandra Gentry-Maharaj, Andy Ryan, Nasim Mavaddat, Alex P Cunningham, Tim Carver, Stephanie Archer, Goska Leslie, Jatinder Kalsi, Faiza Gaba, Ranjit Manchanda, Simon Gayther, Susan J Ramus, Fiona M Walter, Marc Tischkowitz, Ian Jacobs, Usha Menon, Douglas F Easton, Paul Pharoah, Antonis C Antoniou |
X Demographics
The data shown below were collected from the profiles of 21 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 | 5 | 24% |
| United States | 4 | 19% |
| France | 1 | 5% |
| Canada | 1 | 5% |
| Australia | 1 | 5% |
| Spain | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 43% |
| Members of the public | 9 | 43% |
| Practitioners (doctors, other healthcare professionals) | 3 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 12% |
| Student > Doctoral Student | 4 | 10% |
| Student > Ph. D. Student | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 20 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 22% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 21 | 51% |
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 August 2023.
All research outputs
#1,460,740
of 24,877,869 outputs
Outputs from Journal of Medical Genetics
#105
of 3,073 outputs
Outputs of similar age
#35,050
of 515,233 outputs
Outputs of similar age from Journal of Medical Genetics
#1
of 32 outputs
Altmetric has tracked 24,877,869 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 3,073 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 515,233 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 93% of its contemporaries.
We're also able to compare this research output to 32 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 99% of its contemporaries.