You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning
|
|---|---|
| Published in |
BMC Bioinformatics, June 2020
|
| DOI | 10.1186/s12859-020-3531-9 |
| Pubmed ID | |
| Authors |
Ali Haisam Muhammad Rafid, Md. Toufikuzzaman, Mohammad Saifur Rahman, M. Sohel Rahman |
X Demographics
The data shown below were collected from the profiles of 14 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 | 29% |
| India | 2 | 14% |
| Bangladesh | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Scientists | 3 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 4 | 9% |
| Researcher | 4 | 9% |
| Student > Master | 3 | 7% |
| Professor | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 18 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Computer Science | 5 | 11% |
| Medicine and Dentistry | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Unspecified | 2 | 5% |
| Other | 8 | 18% |
| Unknown | 18 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 30 November 2020.
All research outputs
#4,623,149
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#1,703
of 7,400 outputs
Outputs of similar age
#110,577
of 399,039 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 128 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 76% 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 399,039 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 72% of its contemporaries.
We're also able to compare this research output to 128 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 67% of its contemporaries.