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Attention Score in Context
Title |
Personalized chemotherapy selection for patients with triple-negative breast cancer using deep learning
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Published in |
Frontiers in Medicine, June 2024
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DOI | 10.3389/fmed.2024.1418800 |
Pubmed ID | |
Authors |
Xinyi Yang, Reshetov Iogr Vladmirovich, Poltavskaya Maria Georgievna, Agakina Yulia Sergeevna, Mingze He, Zitong Zeng, Yinpeng Qiang, Yu Cao, Kulikov Timur Sergeevich |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 August 2024.
All research outputs
#4,620,527
of 26,495,046 outputs
Outputs from Frontiers in Medicine
#1,346
of 7,604 outputs
Outputs of similar age
#51,020
of 306,600 outputs
Outputs of similar age from Frontiers in Medicine
#19
of 199 outputs
Altmetric has tracked 26,495,046 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,604 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 81% 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 306,600 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 81% of its contemporaries.
We're also able to compare this research output to 199 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.