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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genotyping cell-free tumor DNA in the blood to detect residual disease and drug resistance
|
|---|---|
| Published in |
Genome Biology, August 2014
|
| DOI | 10.1186/s13059-014-0449-4 |
| Pubmed ID | |
| Authors |
Giulia Siravegna, Alberto Bardelli |
| Abstract |
DNA fragments released from cancer cells into the blood can be used to generate molecular profiles of tumors. Non-invasive 'liquid biopsies' can be used to monitor minimal residual disease and detect the emergence of drug resistance. |
X Demographics
The data shown below were collected from the profiles of 23 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 | 8 | 35% |
| United Kingdom | 5 | 22% |
| Switzerland | 1 | 4% |
| India | 1 | 4% |
| Australia | 1 | 4% |
| France | 1 | 4% |
| Unknown | 6 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 65% |
| Scientists | 6 | 26% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Belgium | 2 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| France | 1 | <1% |
| Unknown | 204 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 57 | 27% |
| Student > Ph. D. Student | 27 | 13% |
| Other | 26 | 12% |
| Student > Bachelor | 22 | 10% |
| Student > Master | 16 | 7% |
| Other | 36 | 17% |
| Unknown | 30 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 25% |
| Medicine and Dentistry | 44 | 21% |
| Biochemistry, Genetics and Molecular Biology | 42 | 20% |
| Immunology and Microbiology | 8 | 4% |
| Computer Science | 7 | 3% |
| Other | 22 | 10% |
| Unknown | 38 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 31 May 2019.
All research outputs
#1,833,795
of 25,373,627 outputs
Outputs from Genome Biology
#1,524
of 4,467 outputs
Outputs of similar age
#18,626
of 247,720 outputs
Outputs of similar age from Genome Biology
#15
of 101 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd 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 65% 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 247,720 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 92% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.