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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors
|
|---|---|
| Published in |
Communications Biology, June 2020
|
| DOI | 10.1038/s42003-020-1042-x |
| Pubmed ID | |
| Authors |
Paul Savage, Alain Pacis, Hellen Kuasne, Leah Liu, Daniel Lai, Adrian Wan, Matthew Dankner, Constanza Martinez, Valentina Muñoz-Ramos, Virginie Pilon, Anie Monast, Hong Zhao, Margarita Souleimanova, Matthew G. Annis, Adriana Aguilar-Mahecha, Josiane Lafleur, Nicholas R. Bertos, Jamil Asselah, Nathaniel Bouganim, Kevin Petrecca, Peter M. Siegel, Atilla Omeroglu, Sohrab P. Shah, Samuel Aparicio, Mark Basik, Sarkis Meterissian, Morag Park |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 5 | 45% |
| Australia | 1 | 9% |
| Djibouti | 1 | 9% |
| Mexico | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Master | 7 | 16% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 42% |
| Agricultural and Biological Sciences | 4 | 9% |
| Computer Science | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 January 2021.
All research outputs
#6,166,714
of 25,200,621 outputs
Outputs from Communications Biology
#2,828
of 5,446 outputs
Outputs of similar age
#114,255
of 378,049 outputs
Outputs of similar age from Communications Biology
#117
of 205 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,446 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.3. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 378,049 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.