The data shown below were collected from the profiles of 108 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrated image-based deep learning and language models for primary diabetes care
|
|---|---|
| Published in |
Nature Medicine, July 2024
|
| DOI | 10.1038/s41591-024-03139-8 |
| Pubmed ID | |
| Authors |
Jiajia Li, Zhouyu Guan, Jing Wang, Carol Y. Cheung, Yingfeng Zheng, Lee-Ling Lim, Cynthia Ciwei Lim, Paisan Ruamviboonsuk, Rajiv Raman, Leonor Corsino, Justin B. Echouffo-Tcheugui, Andrea O. Y. Luk, Li Jia Chen, Xiaodong Sun, Haslina Hamzah, Qiang Wu, Xiangning Wang, Ruhan Liu, Ya Xing Wang, Tingli Chen, Xiao Zhang, Xiaolong Yang, Jun Yin, Jing Wan, Wei Du, Ten Cheer Quek, Jocelyn Hui Lin Goh, Dawei Yang, Xiaoyan Hu, Truong X. Nguyen, Simon K. H. Szeto, Peranut Chotcomwongse, Rachid Malek, Nargiza Normatova, Nilufar Ibragimova, Ramyaa Srinivasan, Pingting Zhong, Wenyong Huang, Chenxin Deng, Lei Ruan, Cuntai Zhang, Chenxi Zhang, Yan Zhou, Chan Wu, Rongping Dai, Sky Wei Chee Koh, Adina Abdullah, Nicholas Ken Yoong Hee, Hong Chang Tan, Zhong Hong Liew, Carolyn Shan-Yeu Tien, Shih Ling Kao, Amanda Yuan Ling Lim, Shao Feng Mok, Lina Sun, Jing Gu, Liang Wu, Tingyao Li, Di Cheng, Zheyuan Wang, Yiming Qin, Ling Dai, Ziyao Meng, Jia Shu, Yuwei Lu, Nan Jiang, Tingting Hu, Shan Huang, Gengyou Huang, Shujie Yu, Dan Liu, Weizhi Ma, Minyi Guo, Xinping Guan, Xiaokang Yang, Covadonga Bascaran, Charles R. Cleland, Yuqian Bao, Elif I. Ekinci, Alicia Jenkins, Juliana C. N. Chan, Yong Mong Bee, Sobha Sivaprasad, Jonathan E. Shaw, Rafael Simó, Pearse A. Keane, Ching-Yu Cheng, Gavin Siew Wei Tan, Weiping Jia, Yih-Chung Tham, Huating Li, Bin Sheng, Tien Yin Wong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Singapore | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 103 | 95% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 70 | 65% |
| Scientists | 21 | 19% |
| Practitioners (doctors, other healthcare professionals) | 12 | 11% |
| Science communicators (journalists, bloggers, editors) | 5 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 8 | 35% |
| Lecturer | 3 | 13% |
| Researcher | 3 | 13% |
| Professor | 2 | 9% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 8 | 35% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Computer Science | 3 | 13% |
| Medicine and Dentistry | 2 | 9% |
| Business, Management and Accounting | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 2 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 81. 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 07 September 2024.
All research outputs
#564,823
of 26,586,231 outputs
Outputs from Nature Medicine
#1,856
of 9,759 outputs
Outputs of similar age
#6,963
of 282,895 outputs
Outputs of similar age from Nature Medicine
#78
of 205 outputs
Altmetric has tracked 26,586,231 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,759 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 109.1. This one has done well, scoring higher than 80% 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 282,895 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 205 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 61% of its contemporaries.