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X Demographics
Mendeley readers
Attention Score in Context
| Title |
siRNA-Finder (si-Fi) Software for RNAi-Target Design and Off-Target Prediction
|
|---|---|
| Published in |
Frontiers in Plant Science, August 2019
|
| DOI | 10.3389/fpls.2019.01023 |
| Pubmed ID | |
| Authors |
Stefanie Lück, Tino Kreszies, Marc Strickert, Patrick Schweizer, Markus Kuhlmann, Dimitar Douchkov |
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 % |
|---|---|---|
| Mexico | 2 | 14% |
| United Kingdom | 1 | 7% |
| Thailand | 1 | 7% |
| Switzerland | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 8 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 4 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 178 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 17% |
| Student > Master | 30 | 17% |
| Researcher | 27 | 15% |
| Student > Bachelor | 23 | 13% |
| Student > Doctoral Student | 5 | 3% |
| Other | 13 | 7% |
| Unknown | 49 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 38% |
| Biochemistry, Genetics and Molecular Biology | 35 | 20% |
| Computer Science | 3 | 2% |
| Medicine and Dentistry | 3 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Other | 13 | 7% |
| Unknown | 54 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 September 2019.
All research outputs
#3,232,962
of 23,152,542 outputs
Outputs from Frontiers in Plant Science
#1,646
of 20,837 outputs
Outputs of similar age
#67,545
of 341,940 outputs
Outputs of similar age from Frontiers in Plant Science
#41
of 294 outputs
Altmetric has tracked 23,152,542 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,837 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 92% 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 341,940 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 80% of its contemporaries.
We're also able to compare this research output to 294 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.