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.
Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Low-field magnetic resonance image enhancement via stochastic image quality transfer
|
|---|---|
| Published in |
Medical Image Analysis, July 2023
|
| DOI | 10.1016/j.media.2023.102807 |
| 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 |
Twitter Demographics
The data shown below were collected from the profiles of 25 tweeters 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 | 20% |
| United States | 5 | 20% |
| Germany | 1 | 4% |
| Spain | 1 | 4% |
| Japan | 1 | 4% |
| Unknown | 12 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 52% |
| Scientists | 10 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 50% |
| Unspecified | 1 | 25% |
| Researcher | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 50% |
| Computer Science | 1 | 25% |
| Engineering | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 20 July 2023.
All research outputs
#2,166,837
of 24,291,750 outputs
Outputs from Medical Image Analysis
#53
of 1,527 outputs
Outputs of similar age
#34,654
of 330,666 outputs
Outputs of similar age from Medical Image Analysis
#2
of 31 outputs
Altmetric has tracked 24,291,750 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,527 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 96% 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 330,666 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 31 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.