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X Demographics
Mendeley readers
Attention Score in Context
Title |
A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography
|
---|---|
Published in |
BMC Medical Imaging, November 2022
|
DOI | 10.1186/s12880-022-00916-0 |
Pubmed ID | |
Authors |
Pranav Ajmera, Amit Kharat, Jitesh Seth, Snehal Rathi, Richa Pant, Manish Gawali, Viraj Kulkarni, Ragamayi Maramraju, Isha Kedia, Rajesh Botchu, Sanjay Khaladkar |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 33% |
United States | 1 | 17% |
Netherlands | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 11% |
Other | 2 | 11% |
Student > Doctoral Student | 2 | 11% |
Student > Ph. D. Student | 1 | 6% |
Student > Master | 1 | 6% |
Other | 1 | 6% |
Unknown | 9 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 17% |
Medicine and Dentistry | 3 | 17% |
Unspecified | 2 | 11% |
Engineering | 1 | 6% |
Unknown | 9 | 50% |
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 08 December 2022.
All research outputs
#7,115,080
of 23,881,329 outputs
Outputs from BMC Medical Imaging
#87
of 604 outputs
Outputs of similar age
#129,726
of 443,551 outputs
Outputs of similar age from BMC Medical Imaging
#2
of 27 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 85% 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 443,551 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 70% of its contemporaries.
We're also able to compare this research output to 27 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 96% of its contemporaries.