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X Demographics
Mendeley readers
Attention Score in Context
Title |
A guide to translation of research results from model organisms to human
|
---|---|
Published in |
Genome Biology, July 2016
|
DOI | 10.1186/s13059-016-1026-9 |
Pubmed ID | |
Authors |
Ross C. Hardison |
Abstract |
A new study helps resolve a controversy about determinants of gene expression variability and might facilitate the effective translation of research results across species. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 4 | 22% |
United States | 3 | 17% |
Italy | 2 | 11% |
Korea, Republic of | 1 | 6% |
France | 1 | 6% |
Chile | 1 | 6% |
Unknown | 6 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 50% |
Members of the public | 8 | 44% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
United States | 1 | 2% |
Unknown | 47 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 29% |
Researcher | 11 | 22% |
Student > Master | 3 | 6% |
Student > Doctoral Student | 2 | 4% |
Other | 2 | 4% |
Other | 7 | 14% |
Unknown | 10 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 33% |
Biochemistry, Genetics and Molecular Biology | 15 | 31% |
Computer Science | 2 | 4% |
Medicine and Dentistry | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 2 | 4% |
Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 August 2016.
All research outputs
#3,554,016
of 25,374,917 outputs
Outputs from Genome Biology
#2,461
of 4,467 outputs
Outputs of similar age
#62,524
of 380,100 outputs
Outputs of similar age from Genome Biology
#33
of 55 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 44th percentile – i.e., 44% 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 380,100 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 83% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.