The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Attention Score in Context
| Title |
I2N: image to nutrients, a sensor guided semi-automated tool for annotation of images for nutrition analysis of eating episodes
|
|---|---|
| Published in |
Frontiers in Nutrition, July 2023
|
| DOI | 10.3389/fnut.2023.1191962 |
| Pubmed ID | |
| Authors |
Tonmoy Ghosh, Megan A. McCrory, Tyson Marden, Janine Higgins, Alex Kojo Anderson, Christabel Ampong Domfe, Wenyan Jia, Benny Lo, Gary Frost, Matilda Steiner-Asiedu, Tom Baranowski, Mingui Sun, Edward Sazonov |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 July 2023.
All research outputs
#21,493,885
of 26,381,140 outputs
Outputs from Frontiers in Nutrition
#4,736
of 7,544 outputs
Outputs of similar age
#271,931
of 370,489 outputs
Outputs of similar age from Frontiers in Nutrition
#283
of 467 outputs
Altmetric has tracked 26,381,140 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. This one is in the 24th percentile – i.e., 24% 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 370,489 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 467 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.