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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimizing the genetic prediction of the eye and hair color for North Eurasian populations
|
|---|---|
| Published in |
BMC Genomics, September 2020
|
| DOI | 10.1186/s12864-020-06923-1 |
| Pubmed ID | |
| Authors |
Elena Balanovska, Elena Lukianova, Janet Kagazezheva, Andrey Maurer, Natalia Leybova, Anastasiya Agdzhoyan, Igor Gorin, Valeria Petrushenko, Maxat Zhabagin, Vladimir Pylev, Elena Kostryukova, Oleg Balanovsky |
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 States | 1 | 20% |
| Denmark | 1 | 20% |
| Unknown | 3 | 60% |
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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 3 | 13% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Agricultural and Biological Sciences | 2 | 8% |
| Engineering | 2 | 8% |
| Chemistry | 1 | 4% |
| Unknown | 12 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 08 February 2024.
All research outputs
#2,291,883
of 25,870,142 outputs
Outputs from BMC Genomics
#570
of 11,351 outputs
Outputs of similar age
#59,797
of 428,268 outputs
Outputs of similar age from BMC Genomics
#14
of 167 outputs
Altmetric has tracked 25,870,142 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,351 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 428,268 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 86% of its contemporaries.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.