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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of sgRNA on-target activity in bacteria by deep learning
|
|---|---|
| Published in |
BMC Bioinformatics, October 2019
|
| DOI | 10.1186/s12859-019-3151-4 |
| Pubmed ID | |
| Authors |
Lei Wang, Juhua Zhang |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 14% |
| India | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 24% |
| Researcher | 7 | 16% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 20% |
| Agricultural and Biological Sciences | 3 | 7% |
| Engineering | 3 | 7% |
| Computer Science | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 9 | 20% |
| Unknown | 17 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 May 2021.
All research outputs
#5,347,214
of 25,079,481 outputs
Outputs from BMC Bioinformatics
#1,925
of 7,644 outputs
Outputs of similar age
#100,303
of 367,831 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 138 outputs
Altmetric has tracked 25,079,481 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,644 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 73% 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 367,831 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 138 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 68% of its contemporaries.