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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms
|
---|---|
Published in |
Scientific Reports, December 2019
|
DOI | 10.1038/s41598-019-55636-3 |
Pubmed ID | |
Authors |
Kanika Arora, Minita Shah, Molly Johnson, Rashesh Sanghvi, Jennifer Shelton, Kshithija Nagulapalli, Dayna M. Oschwald, Michael C. Zody, Soren Germer, Vaidehi Jobanputra, Jade Carter, Nicolas Robine |
X Demographics
The data shown below were collected from the profiles of 47 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 | 16 | 34% |
United Kingdom | 3 | 6% |
Tanzania, United Republic of | 2 | 4% |
Canada | 2 | 4% |
Germany | 2 | 4% |
Venezuela, Bolivarian Republic of | 1 | 2% |
Australia | 1 | 2% |
Netherlands | 1 | 2% |
Austria | 1 | 2% |
Other | 6 | 13% |
Unknown | 12 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 28 | 60% |
Members of the public | 19 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 21% |
Student > Ph. D. Student | 12 | 21% |
Student > Master | 10 | 17% |
Student > Bachelor | 3 | 5% |
Other | 2 | 3% |
Other | 4 | 7% |
Unknown | 15 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 20 | 34% |
Agricultural and Biological Sciences | 11 | 19% |
Medicine and Dentistry | 4 | 7% |
Computer Science | 2 | 3% |
Immunology and Microbiology | 2 | 3% |
Other | 4 | 7% |
Unknown | 15 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 16 November 2023.
All research outputs
#1,554,545
of 25,365,817 outputs
Outputs from Scientific Reports
#14,769
of 139,650 outputs
Outputs of similar age
#36,797
of 474,965 outputs
Outputs of similar age from Scientific Reports
#458
of 4,383 outputs
Altmetric has tracked 25,365,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 139,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 89% 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 474,965 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 4,383 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.