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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Weakly Supervised Deep Learning for Tooth-Marked Tongue Recognition
|
|---|---|
| Published in |
Frontiers in Physiology, April 2022
|
| DOI | 10.3389/fphys.2022.847267 |
| Pubmed ID | |
| Authors |
Jianguo Zhou, Shangxuan Li, Xuesong Wang, Zizhu Yang, Xinyuan Hou, Wei Lai, Shifeng Zhao, Qingqiong Deng, Wu Zhou |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Unknown | 5 | 83% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Unknown | 5 | 83% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 April 2022.
All research outputs
#19,416,201
of 23,885,338 outputs
Outputs from Frontiers in Physiology
#8,684
of 14,603 outputs
Outputs of similar age
#319,398
of 429,792 outputs
Outputs of similar age from Frontiers in Physiology
#390
of 745 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,603 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 429,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 745 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.