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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A workflow for segmenting soil and plant X-ray computed tomography images with deep learning in Google’s Colaboratory
|
|---|---|
| Published in |
Frontiers in Plant Science, September 2022
|
| DOI | 10.3389/fpls.2022.893140 |
| Pubmed ID | |
| Authors |
Devin A. Rippner, Pranav V. Raja, J. Mason Earles, Mina Momayyezi, Alexander Buchko, Fiona V. Duong, Elizabeth J. Forrestel, Dilworth Y. Parkinson, Kenneth A. Shackel, Jeffrey L. Neyhart, Andrew J. McElrone |
X Demographics
The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 42% |
| Canada | 3 | 9% |
| Finland | 1 | 3% |
| Australia | 1 | 3% |
| Japan | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 12 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 58% |
| Scientists | 11 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 11% |
| Student > Master | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 16 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 25% |
| Chemistry | 2 | 7% |
| Computer Science | 1 | 4% |
| Unknown | 18 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 07 February 2023.
All research outputs
#1,804,477
of 25,010,497 outputs
Outputs from Frontiers in Plant Science
#634
of 23,979 outputs
Outputs of similar age
#38,208
of 425,086 outputs
Outputs of similar age from Frontiers in Plant Science
#21
of 1,433 outputs
Altmetric has tracked 25,010,497 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 23,979 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 425,086 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1,433 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.