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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Iam hiQ—a novel pair of accuracy indices for imputed genotypes
|
|---|---|
| Published in |
BMC Bioinformatics, January 2022
|
| DOI | 10.1186/s12859-022-04568-3 |
| Pubmed ID | |
| Authors |
Albert Rosenberger, Viola Tozzi, Heike Bickeböller |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 17% |
| Sweden | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 43% |
| Student > Bachelor | 3 | 43% |
| Student > Ph. D. Student | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Nursing and Health Professions | 1 | 14% |
| Agricultural and Biological Sciences | 1 | 14% |
| Computer Science | 1 | 14% |
| Neuroscience | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 24 May 2022.
All research outputs
#3,814,289
of 23,838,611 outputs
Outputs from BMC Bioinformatics
#1,335
of 7,452 outputs
Outputs of similar age
#89,461
of 515,606 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 128 outputs
Altmetric has tracked 23,838,611 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,452 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 515,606 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.