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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Workflow for phenotyping sugar beet roots by automated evaluation of cell characteristics and tissue arrangement using digital image processing
|
|---|---|
| Published in |
Plant Methods, March 2023
|
| DOI | 10.1186/s13007-023-01014-0 |
| Pubmed ID | |
| Authors |
Nelia Nause, Facundo R. Ispizua Yamati, Marion Seidel, Anne-Katrin Mahlein, Christa M. Hoffmann |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 13% |
| United States | 1 | 7% |
| Brazil | 1 | 7% |
| Pakistan | 1 | 7% |
| Germany | 1 | 7% |
| Cameroon | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 87% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 25% |
| Student > Postgraduate | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 38% |
| Computer Science | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 27 June 2023.
All research outputs
#4,533,417
of 24,501,737 outputs
Outputs from Plant Methods
#261
of 1,179 outputs
Outputs of similar age
#85,342
of 405,720 outputs
Outputs of similar age from Plant Methods
#14
of 34 outputs
Altmetric has tracked 24,501,737 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,179 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 77% 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 405,720 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 78% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.