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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection of copy number variants in African goats using whole genome sequence data
|
|---|---|
| Published in |
BMC Genomics, May 2021
|
| DOI | 10.1186/s12864-021-07703-1 |
| Pubmed ID | |
| Authors |
Wilson Nandolo, Gábor Mészáros, Maria Wurzinger, Liveness J. Banda, Timothy N. Gondwe, Henry A. Mulindwa, Helen N. Nakimbugwe, Emily L. Clark, M. Jennifer Woodward-Greene, Mei Liu, George E. Liu, Curtis P. Van Tassell, Benjamin D. Rosen, Johann Sölkner |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 12 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 22% |
| Veterinary Science and Veterinary Medicine | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Environmental Science | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 31 May 2021.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from BMC Genomics
#6,750
of 10,742 outputs
Outputs of similar age
#261,341
of 448,351 outputs
Outputs of similar age from BMC Genomics
#153
of 222 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% 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 448,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.