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X Demographics
Mendeley readers
Attention Score in Context
Title |
Analysis of variable retroduplications in human populations suggests coupling of retrotransposition to cell division
|
---|---|
Published in |
Genome Research, September 2013
|
DOI | 10.1101/gr.154625.113 |
Pubmed ID | |
Authors |
Alexej Abyzov, Rebecca Iskow, Omer Gokcumen, David W. Radke, Suganthi Balasubramanian, Baikang Pei, Lukas Habegger, The 1000 Genomes Project Consortium, Charles Lee, Mark Gerstein |
X Demographics
The data shown below were collected from the profiles of 12 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 | 4 | 33% |
United Kingdom | 1 | 8% |
Norway | 1 | 8% |
France | 1 | 8% |
Unknown | 5 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 50% |
Scientists | 5 | 42% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
Netherlands | 2 | 2% |
Germany | 1 | 1% |
Russia | 1 | 1% |
Canada | 1 | 1% |
Unknown | 82 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 23% |
Student > Ph. D. Student | 21 | 23% |
Student > Master | 11 | 12% |
Professor | 9 | 10% |
Other | 6 | 7% |
Other | 15 | 17% |
Unknown | 7 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 46 | 51% |
Biochemistry, Genetics and Molecular Biology | 21 | 23% |
Medicine and Dentistry | 7 | 8% |
Computer Science | 5 | 6% |
Mathematics | 2 | 2% |
Other | 1 | 1% |
Unknown | 8 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 06 October 2021.
All research outputs
#5,374,479
of 26,017,215 outputs
Outputs from Genome Research
#2,279
of 4,469 outputs
Outputs of similar age
#43,962
of 214,051 outputs
Outputs of similar age from Genome Research
#29
of 44 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one is in the 48th percentile – i.e., 48% 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 214,051 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 79% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.