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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validating a multi-locus metabarcoding approach for characterizing mixed-pollen samples
|
|---|---|
| Published in |
Plant Methods, November 2023
|
| DOI | 10.1186/s13007-023-01097-9 |
| Pubmed ID | |
| Authors |
Sydney B. Wizenberg, Laura R. Newburn, Mateus Pepinelli, Ida M. Conflitti, Rodney T. Richardson, Shelley E. R. Hoover, Robert W. Currie, Pierre Giovenazzo, Amro Zayed |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 5 | 56% |
| United Kingdom | 2 | 22% |
| Germany | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Student > Ph. D. Student | 2 | 20% |
| Researcher | 2 | 20% |
| Student > Master | 2 | 20% |
| Student > Bachelor | 1 | 10% |
| Other | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 40% |
| Unspecified | 2 | 20% |
| Biochemistry, Genetics and Molecular Biology | 2 | 20% |
| Chemical Engineering | 1 | 10% |
| Unknown | 1 | 10% |
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 09 November 2023.
All research outputs
#6,600,831
of 25,863,888 outputs
Outputs from Plant Methods
#378
of 1,293 outputs
Outputs of similar age
#94,637
of 367,409 outputs
Outputs of similar age from Plant Methods
#9
of 50 outputs
Altmetric has tracked 25,863,888 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,293 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 gotten more attention than average, scoring higher than 70% 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 367,409 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 74% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.