| Title |
Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts
|
|---|---|
| Published in |
Breast Cancer Research, December 2018
|
| DOI | 10.1186/s13058-018-1073-0 |
| Pubmed ID | |
| Authors |
Kuanrong Li, Garnet Anderson, Vivian Viallon, Patrick Arveux, Marina Kvaskoff, Agnès Fournier, Vittorio Krogh, Rosario Tumino, Maria-Jose Sánchez, Eva Ardanaz, María-Dolores Chirlaque, Antonio Agudo, David C. Muller, Todd Smith, Ioanna Tzoulaki, Timothy J. Key, Bas Bueno-de-Mesquita, Antonia Trichopoulou, Christina Bamia, Philippos Orfanos, Rudolf Kaaks, Anika Hüsing, Renée T. Fortner, Anne Zeleniuch-Jacquotte, Malin Sund, Christina C. Dahm, Kim Overvad, Dagfinn Aune, Elisabete Weiderpass, Isabelle Romieu, Elio Riboli, Marc J. Gunter, Laure Dossus, Ross Prentice, Pietro Ferrari |
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 % |
|---|---|---|
| Spain | 4 | 57% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 13% |
| Researcher | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 6 | 10% |
| Student > Postgraduate | 5 | 8% |
| Other | 8 | 13% |
| Unknown | 22 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 24% |
| Nursing and Health Professions | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 26 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 13 December 2018.
All research outputs
#2,812,753
of 25,385,509 outputs
Outputs from Breast Cancer Research
#291
of 2,054 outputs
Outputs of similar age
#61,629
of 445,099 outputs
Outputs of similar age from Breast Cancer Research
#11
of 38 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 85% 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 445,099 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.