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X Demographics
Mendeley readers
Attention Score in Context
| Title |
‘apparent’: a simple and flexible R package for accurate SNP-based parentage analysis in the absence of guiding information
|
|---|---|
| Published in |
BMC Bioinformatics, February 2019
|
| DOI | 10.1186/s12859-019-2662-3 |
| Pubmed ID | |
| Authors |
Arthur T. O. Melo, Iago Hale |
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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 24% |
| Researcher | 15 | 21% |
| Student > Master | 6 | 8% |
| Professor > Associate Professor | 4 | 6% |
| Student > Postgraduate | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 17 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 35% |
| Biochemistry, Genetics and Molecular Biology | 15 | 21% |
| Environmental Science | 5 | 7% |
| Nursing and Health Professions | 1 | 1% |
| Chemical Engineering | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 19 | 27% |
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 02 March 2019.
All research outputs
#15,867,545
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#5,494
of 7,400 outputs
Outputs of similar age
#223,124
of 354,985 outputs
Outputs of similar age from BMC Bioinformatics
#105
of 154 outputs
Altmetric has tracked 23,577,654 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 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 17th percentile – i.e., 17% 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 354,985 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.