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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An accurate and interpretable model for siRNA efficacy prediction
|
|---|---|
| Published in |
BMC Bioinformatics, November 2006
|
| DOI | 10.1186/1471-2105-7-520 |
| Pubmed ID | |
| Authors |
Jean-Philippe Vert, Nicolas Foveau, Christian Lajaunie, Yves Vandenbrouck |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| France | 2 | 1% |
| United States | 2 | 1% |
| United Kingdom | 2 | 1% |
| Austria | 1 | <1% |
| India | 1 | <1% |
| Greece | 1 | <1% |
| Nigeria | 1 | <1% |
| Unknown | 167 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 26% |
| Researcher | 45 | 25% |
| Student > Master | 23 | 13% |
| Student > Bachelor | 11 | 6% |
| Student > Doctoral Student | 8 | 4% |
| Other | 25 | 14% |
| Unknown | 21 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 38% |
| Biochemistry, Genetics and Molecular Biology | 48 | 27% |
| Computer Science | 10 | 6% |
| Medicine and Dentistry | 8 | 4% |
| Neuroscience | 6 | 3% |
| Other | 14 | 8% |
| Unknown | 25 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 29 June 2023.
All research outputs
#4,520,894
of 24,129,125 outputs
Outputs from BMC Bioinformatics
#1,686
of 7,504 outputs
Outputs of similar age
#19,079
of 160,936 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 54 outputs
Altmetric has tracked 24,129,125 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 7,504 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 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 160,936 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.