The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Utility of cfDNA Fragmentation Patterns in Designing the Liquid Biopsy Profiling Panels to Improve Their Sensitivity
|
---|---|
Published in |
Frontiers in Genetics, March 2019
|
DOI | 10.3389/fgene.2019.00194 |
Pubmed ID | |
Authors |
Maxim Ivanov, Polina Chernenko, Valery Breder, Konstantin Laktionov, Ekaterina Rozhavskaya, Sergey Musienko, Ancha Baranova, Vladislav Mileyko |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 63 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 21% |
Student > Ph. D. Student | 11 | 17% |
Student > Bachelor | 6 | 10% |
Student > Doctoral Student | 4 | 6% |
Student > Postgraduate | 3 | 5% |
Other | 5 | 8% |
Unknown | 21 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 20 | 32% |
Agricultural and Biological Sciences | 5 | 8% |
Medicine and Dentistry | 4 | 6% |
Computer Science | 2 | 3% |
Immunology and Microbiology | 2 | 3% |
Other | 5 | 8% |
Unknown | 25 | 40% |
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 28 September 2023.
All research outputs
#5,786,045
of 26,571,932 outputs
Outputs from Frontiers in Genetics
#1,792
of 14,024 outputs
Outputs of similar age
#109,231
of 367,777 outputs
Outputs of similar age from Frontiers in Genetics
#63
of 366 outputs
Altmetric has tracked 26,571,932 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 14,024 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 87% 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 367,777 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 366 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.