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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine learning approaches to predict and detect early-onset of digital dermatitis in dairy cows using sensor data
|
---|---|
Published in |
Frontiers in Veterinary Science, November 2023
|
DOI | 10.3389/fvets.2023.1295430 |
Pubmed ID | |
Authors |
Jennifer Magana, Dinu Gavojdian, Yakir Menahem, Teddy Lazebnik, Anna Zamansky, Amber Adams-Progar |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Romania | 2 | 40% |
Netherlands | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Lecturer | 1 | 7% |
Researcher | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Other | 1 | 7% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 3 | 20% |
Unspecified | 2 | 13% |
Computer Science | 2 | 13% |
Agricultural and Biological Sciences | 1 | 7% |
Unknown | 7 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 December 2023.
All research outputs
#9,020,260
of 26,745,229 outputs
Outputs from Frontiers in Veterinary Science
#1,874
of 8,718 outputs
Outputs of similar age
#135,843
of 403,829 outputs
Outputs of similar age from Frontiers in Veterinary Science
#56
of 380 outputs
Altmetric has tracked 26,745,229 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 8,718 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 78% 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 403,829 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 66% of its contemporaries.
We're also able to compare this research output to 380 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.