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X Demographics
Mendeley readers
Attention Score in Context
Title |
Accelerating research through reagent repositories: the genome editing example
|
---|---|
Published in |
Genome Biology, November 2015
|
DOI | 10.1186/s13059-015-0830-y |
Pubmed ID | |
Authors |
J. Keith Joung, Daniel F. Voytas, Joanne Kamens |
Abstract |
Keith Joung, Dan Voytas and Joanne Kamens share insights into how the genome editing field was advanced by early access to biological resources and the role in this process that plasmid repositories play. |
X Demographics
The data shown below were collected from the profiles of 34 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 | 13 | 38% |
United Kingdom | 3 | 9% |
Canada | 3 | 9% |
Japan | 2 | 6% |
India | 1 | 3% |
Australia | 1 | 3% |
Germany | 1 | 3% |
Taiwan | 1 | 3% |
Unknown | 9 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 62% |
Scientists | 12 | 35% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 30% |
Researcher | 7 | 23% |
Other | 3 | 10% |
Student > Master | 3 | 10% |
Professor | 2 | 7% |
Other | 4 | 13% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 37% |
Biochemistry, Genetics and Molecular Biology | 9 | 30% |
Economics, Econometrics and Finance | 2 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Computer Science | 1 | 3% |
Other | 3 | 10% |
Unknown | 3 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 21 February 2019.
All research outputs
#1,811,914
of 25,374,917 outputs
Outputs from Genome Biology
#1,506
of 4,467 outputs
Outputs of similar age
#29,245
of 392,723 outputs
Outputs of similar age from Genome Biology
#36
of 75 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% 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 has gotten more attention than average, scoring higher than 66% 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 392,723 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.