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X Demographics
Mendeley readers
Attention Score in Context
Title |
Fast estimation of plant growth dynamics using deep neural networks
|
---|---|
Published in |
Plant Methods, February 2022
|
DOI | 10.1186/s13007-022-00851-9 |
Pubmed ID | |
Authors |
Gabriella E. C. Gall, Talmo D. Pereira, Alex Jordan, Yasmine Meroz |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 11% |
United Kingdom | 2 | 7% |
Israel | 2 | 7% |
India | 1 | 4% |
Philippines | 1 | 4% |
France | 1 | 4% |
Unknown | 17 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 52% |
Scientists | 10 | 37% |
Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 9 | 24% |
Student > Master | 6 | 16% |
Other | 4 | 11% |
Student > Ph. D. Student | 3 | 8% |
Student > Bachelor | 1 | 3% |
Other | 2 | 5% |
Unknown | 13 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 9 | 24% |
Agricultural and Biological Sciences | 4 | 11% |
Computer Science | 3 | 8% |
Engineering | 2 | 5% |
Business, Management and Accounting | 1 | 3% |
Other | 2 | 5% |
Unknown | 17 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 22 April 2024.
All research outputs
#2,054,348
of 25,805,386 outputs
Outputs from Plant Methods
#87
of 1,288 outputs
Outputs of similar age
#48,998
of 453,948 outputs
Outputs of similar age from Plant Methods
#8
of 44 outputs
Altmetric has tracked 25,805,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,288 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 93% 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 453,948 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 89% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.