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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extru-seq: a method for predicting genome-wide Cas9 off-target sites with advantages of both cell-based and in vitro approaches
|
|---|---|
| Published in |
Genome Biology, January 2023
|
| DOI | 10.1186/s13059-022-02842-4 |
| Pubmed ID | |
| Authors |
Jeonghun Kwon, Minyoung Kim, Woochang Hwang, Anna Jo, Gue-Ho Hwang, Minhee Jung, Un Gi Kim, Gang Cui, Heonseok Kim, Joon-Ho Eom, Junho K. Hur, Junwon Lee, Youngho Kim, Jin-soo Kim, Sangsu Bae, Jungjoon K. Lee |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Rwanda | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 27% |
| Researcher | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Medicine and Dentistry | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Physics and Astronomy | 1 | 7% |
| Mathematics | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 October 2023.
All research outputs
#7,857,016
of 25,392,582 outputs
Outputs from Genome Biology
#3,383
of 4,470 outputs
Outputs of similar age
#145,740
of 475,111 outputs
Outputs of similar age from Genome Biology
#53
of 61 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,470 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 24th percentile – i.e., 24% 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 475,111 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.