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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AMLVaran: a software approach to implement variant analysis of targeted NGS sequencing data in an oncological care setting
|
|---|---|
| Published in |
BMC Medical Genomics, February 2020
|
| DOI | 10.1186/s12920-020-0668-3 |
| Pubmed ID | |
| Authors |
Christian Wünsch, Henrik Banck, Carsten Müller-Tidow, Martin Dugas |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 15% |
| Student > Bachelor | 5 | 15% |
| Other | 4 | 12% |
| Researcher | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 33% |
| Agricultural and Biological Sciences | 3 | 9% |
| Computer Science | 3 | 9% |
| Psychology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 10 | 30% |
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 16 February 2022.
All research outputs
#16,123,231
of 25,483,400 outputs
Outputs from BMC Medical Genomics
#1,099
of 2,449 outputs
Outputs of similar age
#265,481
of 472,253 outputs
Outputs of similar age from BMC Medical Genomics
#20
of 72 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,449 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 51% 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 472,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 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 68% of its contemporaries.