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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SILEX: a fast and inexpensive high-quality DNA extraction method suitable for multiple sequencing platforms and recalcitrant plant species
|
|---|---|
| Published in |
Plant Methods, August 2020
|
| DOI | 10.1186/s13007-020-00652-y |
| Pubmed ID | |
| Authors |
Santiago Vilanova, David Alonso, Pietro Gramazio, Mariola Plazas, Edgar García-Fortea, Paola Ferrante, Maximilian Schmidt, María José Díez, Björn Usadel, Giovanni Giuliano, Jaime Prohens |
X Demographics
The data shown below were collected from the profiles of 61 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 States | 7 | 11% |
| Canada | 5 | 8% |
| Germany | 4 | 7% |
| Netherlands | 4 | 7% |
| Spain | 3 | 5% |
| Indonesia | 2 | 3% |
| United Kingdom | 2 | 3% |
| Peru | 1 | 2% |
| Switzerland | 1 | 2% |
| Other | 8 | 13% |
| Unknown | 24 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 51% |
| Scientists | 28 | 46% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 16% |
| Student > Bachelor | 10 | 10% |
| Student > Ph. D. Student | 9 | 9% |
| Student > Master | 8 | 8% |
| Professor | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 39 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 23% |
| Biochemistry, Genetics and Molecular Biology | 22 | 22% |
| Computer Science | 3 | 3% |
| Arts and Humanities | 2 | 2% |
| Mathematics | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 39 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 01 December 2023.
All research outputs
#1,143,116
of 25,622,179 outputs
Outputs from Plant Methods
#35
of 1,281 outputs
Outputs of similar age
#32,256
of 427,670 outputs
Outputs of similar age from Plant Methods
#2
of 41 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 97% 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 427,670 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 41 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 97% of its contemporaries.