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X Demographics
Mendeley readers
Attention Score in Context
Title |
Performance of copy number variants detection based on whole-genome sequencing by DNBSEQ platforms
|
---|---|
Published in |
BMC Bioinformatics, November 2020
|
DOI | 10.1186/s12859-020-03859-x |
Pubmed ID | |
Authors |
Junhua Rao, Lihua Peng, Xinming Liang, Hui Jiang, Chunyu Geng, Xia Zhao, Xin Liu, Guangyi Fan, Fang Chen, Feng Mu |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 2 | 33% |
India | 1 | 17% |
United States | 1 | 17% |
Sweden | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 25% |
Student > Ph. D. Student | 7 | 25% |
Other | 2 | 7% |
Student > Master | 2 | 7% |
Professor > Associate Professor | 1 | 4% |
Other | 0 | 0% |
Unknown | 9 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 32% |
Agricultural and Biological Sciences | 3 | 11% |
Unspecified | 1 | 4% |
Arts and Humanities | 1 | 4% |
Computer Science | 1 | 4% |
Other | 3 | 11% |
Unknown | 10 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 November 2020.
All research outputs
#13,718,561
of 23,262,131 outputs
Outputs from BMC Bioinformatics
#4,277
of 7,362 outputs
Outputs of similar age
#204,556
of 415,600 outputs
Outputs of similar age from BMC Bioinformatics
#94
of 165 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,362 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 415,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.