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X Demographics
Mendeley readers
Attention Score in Context
Title |
PreAcrs: a machine learning framework for identifying anti-CRISPR proteins
|
---|---|
Published in |
BMC Bioinformatics, October 2022
|
DOI | 10.1186/s12859-022-04986-3 |
Pubmed ID | |
Authors |
Lin Zhu, Xiaoyu Wang, Fuyi Li, Jiangning Song |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 10% |
Australia | 1 | 10% |
Sweden | 1 | 10% |
United Kingdom | 1 | 10% |
Unknown | 6 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 17% |
Student > Ph. D. Student | 2 | 17% |
Unspecified | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 1 | 8% |
Other | 0 | 0% |
Unknown | 5 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 25% |
Unspecified | 1 | 8% |
Computer Science | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Unknown | 6 | 50% |
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 05 November 2022.
All research outputs
#7,126,101
of 24,754,968 outputs
Outputs from BMC Bioinformatics
#2,604
of 7,581 outputs
Outputs of similar age
#131,863
of 434,901 outputs
Outputs of similar age from BMC Bioinformatics
#43
of 167 outputs
Altmetric has tracked 24,754,968 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,581 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 64% 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 434,901 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 69% 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 gotten more attention than average, scoring higher than 73% of its contemporaries.