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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparative study of whole exome sequencing-based copy number variation detection tools
|
|---|---|
| Published in |
BMC Bioinformatics, March 2020
|
| DOI | 10.1186/s12859-020-3421-1 |
| Pubmed ID | |
| Authors |
Lanling Zhao, Han Liu, Xiguo Yuan, Kun Gao, Junbo Duan |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| Netherlands | 2 | 18% |
| United States | 1 | 9% |
| Argentina | 1 | 9% |
| Spain | 1 | 9% |
| Belgium | 1 | 9% |
| Unknown | 1 | 9% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 133 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 16% |
| Researcher | 19 | 14% |
| Student > Ph. D. Student | 12 | 9% |
| Student > Bachelor | 9 | 7% |
| Other | 8 | 6% |
| Other | 17 | 13% |
| Unknown | 47 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 43 | 32% |
| Agricultural and Biological Sciences | 14 | 11% |
| Medicine and Dentistry | 10 | 8% |
| Computer Science | 5 | 4% |
| Business, Management and Accounting | 2 | 2% |
| Other | 11 | 8% |
| Unknown | 48 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 March 2020.
All research outputs
#6,410,772
of 23,197,711 outputs
Outputs from BMC Bioinformatics
#2,430
of 7,349 outputs
Outputs of similar age
#120,685
of 361,698 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 110 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,349 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 66% 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 361,698 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 66% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.