The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Attention Score in Context
Title |
Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound
|
---|---|
Published in |
Ultrasonics, January 2024
|
DOI | 10.1016/j.ultras.2024.107251 |
Pubmed ID | |
Authors |
Lewis Howell, Nicola Ingram, Roger Lapham, Adam Morrell, James R McLaughlan |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 3 | 19% |
Student > Master | 2 | 13% |
Other | 2 | 13% |
Researcher | 1 | 6% |
Student > Ph. D. Student | 1 | 6% |
Other | 0 | 0% |
Unknown | 7 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 3 | 19% |
Nursing and Health Professions | 2 | 13% |
Engineering | 2 | 13% |
Computer Science | 1 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Other | 0 | 0% |
Unknown | 7 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 30 January 2024.
All research outputs
#2,682,552
of 25,576,801 outputs
Outputs from Ultrasonics
#13
of 1,101 outputs
Outputs of similar age
#36,574
of 333,733 outputs
Outputs of similar age from Ultrasonics
#1
of 3 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,101 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 333,733 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 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them