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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of tools for identifying large copy number variations from ultra-low-coverage whole-genome sequencing data
|
|---|---|
| Published in |
BMC Genomics, May 2021
|
| DOI | 10.1186/s12864-021-07686-z |
| Pubmed ID | |
| Authors |
Johannes Smolander, Sofia Khan, Kalaimathy Singaravelu, Leni Kauko, Riikka J. Lund, Asta Laiho, Laura L. Elo |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 3 | 23% |
| Spain | 2 | 15% |
| United States | 2 | 15% |
| United Kingdom | 2 | 15% |
| Israel | 1 | 8% |
| Argentina | 1 | 8% |
| Unknown | 2 | 15% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 54% |
| Members of the public | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 14% |
| Researcher | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 19 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 30% |
| Medicine and Dentistry | 6 | 12% |
| Agricultural and Biological Sciences | 3 | 6% |
| Unspecified | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 21 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 18 December 2021.
All research outputs
#4,555,820
of 22,714,025 outputs
Outputs from BMC Genomics
#1,912
of 10,626 outputs
Outputs of similar age
#110,879
of 440,031 outputs
Outputs of similar age from BMC Genomics
#43
of 216 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 81% 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 440,031 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 74% of its contemporaries.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.