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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeviCNV: detection and visualization of exon-level copy number variants in targeted next-generation sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, October 2018
|
| DOI | 10.1186/s12859-018-2409-6 |
| Pubmed ID | |
| Authors |
Yeeok Kang, Seong-Hyeuk Nam, Kyung Sun Park, Yoonjung Kim, Jong-Won Kim, Eunjung Lee, Jung Min Ko, Kyung-A Lee, Inho Park |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 24% |
| Student > Master | 9 | 20% |
| Unspecified | 7 | 16% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 36% |
| Unspecified | 7 | 16% |
| Agricultural and Biological Sciences | 6 | 13% |
| Medicine and Dentistry | 4 | 9% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 9 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 October 2018.
All research outputs
#13,111,382
of 23,106,934 outputs
Outputs from BMC Bioinformatics
#3,824
of 7,330 outputs
Outputs of similar age
#164,206
of 348,433 outputs
Outputs of similar age from BMC Bioinformatics
#69
of 135 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,330 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 45th percentile – i.e., 45% 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 348,433 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 51% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.