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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Smoothing and extraction of traits in the growth analysis of noninvasive phenotypic data
|
|---|---|
| Published in |
Plant Methods, March 2020
|
| DOI | 10.1186/s13007-020-00577-6 |
| Pubmed ID | |
| Authors |
Chris Brien, Nathaniel Jewell, Stephanie J. Watts-Williams, Trevor Garnett, Bettina Berger |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 33% |
| United States | 2 | 17% |
| France | 1 | 8% |
| Philippines | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 50% |
| Members of the public | 4 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
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 | 3 | 13% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 2 | 9% |
| Lecturer | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 39% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Business, Management and Accounting | 1 | 4% |
| Computer Science | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 39% |
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 13 March 2020.
All research outputs
#4,361,513
of 23,784,266 outputs
Outputs from Plant Methods
#256
of 1,129 outputs
Outputs of similar age
#90,828
of 365,184 outputs
Outputs of similar age from Plant Methods
#11
of 44 outputs
Altmetric has tracked 23,784,266 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 1,129 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. 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 365,184 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 75% 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 77% of its contemporaries.