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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge
|
|---|---|
| Published in |
IEEE Transactions on Medical Imaging, February 2019
|
| DOI | 10.1109/tmi.2019.2901398 |
| Pubmed ID | |
| Authors |
Hrvoje Bogunović, Freerk Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 142 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 22% |
| Researcher | 18 | 13% |
| Student > Master | 14 | 10% |
| Student > Bachelor | 9 | 6% |
| Student > Doctoral Student | 7 | 5% |
| Other | 17 | 12% |
| Unknown | 46 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 22% |
| Engineering | 21 | 15% |
| Medicine and Dentistry | 16 | 11% |
| Physics and Astronomy | 3 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Other | 8 | 6% |
| Unknown | 62 | 44% |
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 21 March 2024.
All research outputs
#7,439,343
of 25,613,746 outputs
Outputs from IEEE Transactions on Medical Imaging
#1,361
of 3,765 outputs
Outputs of similar age
#133,798
of 367,775 outputs
Outputs of similar age from IEEE Transactions on Medical Imaging
#25
of 50 outputs
Altmetric has tracked 25,613,746 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 3,765 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 63% 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 367,775 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 62% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.