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X Demographics
Mendeley readers
Attention Score in Context
Title |
Tumour lineage shapes BRCA-mediated phenotypes
|
---|---|
Published in |
Nature, July 2019
|
DOI | 10.1038/s41586-019-1382-1 |
Pubmed ID | |
Authors |
Philip Jonsson, Chaitanya Bandlamudi, Michael L. Cheng, Preethi Srinivasan, Shweta S. Chavan, Noah D. Friedman, Ezra Y. Rosen, Allison L. Richards, Nancy Bouvier, S. Duygu Selcuklu, Craig M. Bielski, Wassim Abida, Diana Mandelker, Ozge Birsoy, Liying Zhang, Ahmet Zehir, Mark T. A. Donoghue, José Baselga, Kenneth Offit, Howard I. Scher, Eileen M. O’Reilly, Zsofia K. Stadler, Nikolaus Schultz, Nicholas D. Socci, Agnes Viale, Marc Ladanyi, Mark E. Robson, David M. Hyman, Michael F. Berger, David B. Solit, Barry S. Taylor |
X Demographics
The data shown below were collected from the profiles of 502 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 States | 152 | 30% |
United Kingdom | 32 | 6% |
Spain | 21 | 4% |
Australia | 19 | 4% |
Canada | 14 | 3% |
France | 10 | 2% |
Mexico | 10 | 2% |
Italy | 9 | 2% |
Germany | 9 | 2% |
Other | 71 | 14% |
Unknown | 155 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 229 | 46% |
Scientists | 210 | 42% |
Practitioners (doctors, other healthcare professionals) | 48 | 10% |
Science communicators (journalists, bloggers, editors) | 14 | 3% |
Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 358 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 83 | 23% |
Student > Ph. D. Student | 51 | 14% |
Other | 29 | 8% |
Student > Master | 29 | 8% |
Student > Bachelor | 21 | 6% |
Other | 64 | 18% |
Unknown | 81 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 116 | 32% |
Medicine and Dentistry | 67 | 19% |
Agricultural and Biological Sciences | 42 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 6 | 2% |
Immunology and Microbiology | 6 | 2% |
Other | 27 | 8% |
Unknown | 94 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 321. 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 02 February 2024.
All research outputs
#106,925
of 25,775,807 outputs
Outputs from Nature
#7,278
of 98,706 outputs
Outputs of similar age
#1,965
of 361,344 outputs
Outputs of similar age from Nature
#169
of 940 outputs
Altmetric has tracked 25,775,807 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 98,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has done particularly well, scoring higher than 92% 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 361,344 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 940 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.