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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNA-free high-quality RNA extraction from 39 difficult-to-extract plant species (representing seasonal tissues and tissue types) of 32 families, and its validation for downstream molecular applications
|
|---|---|
| Published in |
Plant Methods, August 2023
|
| DOI | 10.1186/s13007-023-01063-5 |
| Pubmed ID | |
| Authors |
Shina Sasi, Saranya Krishnan, Preshobha Kodackattumannil, Aysha AL Shamisi, Maitha Aldarmaki, Geetha Lekshmi, Martin Kottackal, Khaled M. A. Amiri |
X Demographics
The data shown below were collected from the profiles of 70 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 | 10% |
| India | 3 | 4% |
| Nigeria | 3 | 4% |
| China | 2 | 3% |
| Pakistan | 2 | 3% |
| Nepal | 2 | 3% |
| Argentina | 2 | 3% |
| Mexico | 2 | 3% |
| Colombia | 2 | 3% |
| Other | 17 | 24% |
| Unknown | 28 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 41 | 59% |
| Scientists | 26 | 37% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 17% |
| Student > Ph. D. Student | 3 | 13% |
| Unspecified | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Student > Master | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 26% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Unspecified | 1 | 4% |
| Environmental Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 09 October 2023.
All research outputs
#987,235
of 25,905,864 outputs
Outputs from Plant Methods
#24
of 1,299 outputs
Outputs of similar age
#17,857
of 361,884 outputs
Outputs of similar age from Plant Methods
#1
of 38 outputs
Altmetric has tracked 25,905,864 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,299 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 98% 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 361,884 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 95% of its contemporaries.
We're also able to compare this research output to 38 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.