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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deciphering intratumor heterogeneity and temporal acquisition of driver events to refine precision medicine
|
---|---|
Published in |
Genome Biology, August 2014
|
DOI | 10.1186/s13059-014-0453-8 |
Pubmed ID | |
Authors |
Crispin Hiley, Elza C de Bruin, Nicholas McGranahan, Charles Swanton |
Abstract |
The presence of multiple subclones within tumors mandates understanding of longitudinal and spatial subclonal dynamics. Resolving the spatial and temporal heterogeneity of subclones with cancer driver events may offer insight into therapy response, tumor evolutionary histories and clinical trial design. |
X Demographics
The data shown below were collected from the profiles of 31 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 | 12 | 39% |
United Kingdom | 4 | 13% |
Sweden | 2 | 6% |
France | 1 | 3% |
Canada | 1 | 3% |
Spain | 1 | 3% |
Germany | 1 | 3% |
Indonesia | 1 | 3% |
Unknown | 8 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 15 | 48% |
Members of the public | 12 | 39% |
Science communicators (journalists, bloggers, editors) | 3 | 10% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 312 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 2% |
Germany | 2 | <1% |
France | 2 | <1% |
Korea, Republic of | 2 | <1% |
United Kingdom | 2 | <1% |
Italy | 1 | <1% |
Sweden | 1 | <1% |
Norway | 1 | <1% |
Finland | 1 | <1% |
Other | 2 | <1% |
Unknown | 293 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 79 | 25% |
Student > Ph. D. Student | 58 | 19% |
Student > Master | 36 | 12% |
Student > Bachelor | 28 | 9% |
Other | 26 | 8% |
Other | 44 | 14% |
Unknown | 41 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 102 | 33% |
Medicine and Dentistry | 60 | 19% |
Biochemistry, Genetics and Molecular Biology | 59 | 19% |
Computer Science | 10 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 1% |
Other | 31 | 10% |
Unknown | 46 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 20 October 2019.
All research outputs
#2,138,029
of 25,371,288 outputs
Outputs from Genome Biology
#1,794
of 4,467 outputs
Outputs of similar age
#21,655
of 247,197 outputs
Outputs of similar age from Genome Biology
#20
of 100 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 59% 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 247,197 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 91% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.