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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HBA-DEALS: accurate and simultaneous identification of differential expression and splicing using hierarchical Bayesian analysis
|
|---|---|
| Published in |
Genome Biology, July 2020
|
| DOI | 10.1186/s13059-020-02072-6 |
| Pubmed ID | |
| Authors |
Guy Karlebach, Peter Hansen, Diogo FT Veiga, Robin Steinhaus, Daniel Danis, Sheng Li, Olga Anczukow, Peter N Robinson |
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 States | 3 | 27% |
| United Kingdom | 2 | 18% |
| France | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 25% |
| Student > Ph. D. Student | 3 | 15% |
| Other | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 35% |
| Agricultural and Biological Sciences | 4 | 20% |
| Computer Science | 1 | 5% |
| Unspecified | 1 | 5% |
| Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 August 2020.
All research outputs
#6,576,179
of 25,387,668 outputs
Outputs from Genome Biology
#3,132
of 4,470 outputs
Outputs of similar age
#139,404
of 430,133 outputs
Outputs of similar age from Genome Biology
#78
of 91 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 29th percentile – i.e., 29% 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 430,133 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 67% of its contemporaries.
We're also able to compare this research output to 91 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.