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X Demographics
Mendeley readers
Attention Score in Context
Title |
sim1000G: a user-friendly genetic variant simulator in R for unrelated individuals and family-based designs
|
---|---|
Published in |
BMC Bioinformatics, January 2019
|
DOI | 10.1186/s12859-019-2611-1 |
Pubmed ID | |
Authors |
Apostolos Dimitromanolakis, Jingxiong Xu, Agnieszka Krol, Laurent Briollais |
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 % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 53 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 19% |
Student > Ph. D. Student | 7 | 13% |
Student > Postgraduate | 4 | 8% |
Student > Master | 4 | 8% |
Other | 3 | 6% |
Other | 8 | 15% |
Unknown | 17 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 23% |
Biochemistry, Genetics and Molecular Biology | 9 | 17% |
Computer Science | 4 | 8% |
Mathematics | 3 | 6% |
Environmental Science | 1 | 2% |
Other | 4 | 8% |
Unknown | 20 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 March 2020.
All research outputs
#2,822,855
of 23,122,481 outputs
Outputs from BMC Bioinformatics
#940
of 7,330 outputs
Outputs of similar age
#72,858
of 470,446 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 192 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,330 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 done well, scoring higher than 87% 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 470,446 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 84% of its contemporaries.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.