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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A low-cost and open-source solution to automate imaging and analysis of cyst nematode infection assays for Arabidopsis thaliana
|
|---|---|
| Published in |
Plant Methods, December 2022
|
| DOI | 10.1186/s13007-022-00963-2 |
| Pubmed ID | |
| Authors |
Olaf Prosper Kranse, Itsuhiro Ko, Roberta Healey, Unnati Sonawala, Siyuan Wei, Beatrice Senatori, Francesco De Batté, Ji Zhou, Sebastian Eves-van den Akker |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Bachelor | 2 | 12% |
| Student > Master | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 41% |
| Environmental Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Unknown | 7 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 July 2023.
All research outputs
#13,970,865
of 24,090,847 outputs
Outputs from Plant Methods
#627
of 1,152 outputs
Outputs of similar age
#175,601
of 449,368 outputs
Outputs of similar age from Plant Methods
#15
of 35 outputs
Altmetric has tracked 24,090,847 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 449,368 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 59% of its contemporaries.
We're also able to compare this research output to 35 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 60% of its contemporaries.