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X Demographics
Mendeley readers
Attention Score in Context
Title |
Low-field magnetic resonance image enhancement via stochastic image quality transfer
|
---|---|
Published in |
Medical Image Analysis, April 2023
|
DOI | 10.1016/j.media.2023.102807 |
Pubmed ID | |
Authors |
Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B Blumberg, Lisa Ronan, Biobele J Brown, David W Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C Alexander |
X Demographics
The data shown below were collected from the profiles of 26 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 Kingdom | 5 | 19% |
United States | 5 | 19% |
Portugal | 1 | 4% |
Spain | 1 | 4% |
Germany | 1 | 4% |
Japan | 1 | 4% |
Unknown | 12 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 58% |
Scientists | 9 | 35% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 29% |
Researcher | 3 | 18% |
Unspecified | 1 | 6% |
Student > Bachelor | 1 | 6% |
Lecturer | 1 | 6% |
Other | 0 | 0% |
Unknown | 6 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 29% |
Computer Science | 2 | 12% |
Nursing and Health Professions | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Unspecified | 1 | 6% |
Other | 0 | 0% |
Unknown | 7 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 19 April 2024.
All research outputs
#2,450,818
of 25,748,735 outputs
Outputs from Medical Image Analysis
#76
of 1,687 outputs
Outputs of similar age
#47,436
of 416,950 outputs
Outputs of similar age from Medical Image Analysis
#3
of 32 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,687 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 95% 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 416,950 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 88% of its contemporaries.
We're also able to compare this research output to 32 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 90% of its contemporaries.