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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study
|
---|---|
Published in |
BMC Medicine, March 2021
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DOI | 10.1186/s12916-021-01953-2 |
Pubmed ID | |
Authors |
Huan Yang, Lili Chen, Zhiqiang Cheng, Minglei Yang, Jianbo Wang, Chenghao Lin, Yuefeng Wang, Leilei Huang, Yangshan Chen, Sui Peng, Zunfu Ke, Weizhong Li |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 33% |
United States | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 117 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 9% |
Unspecified | 9 | 8% |
Researcher | 7 | 6% |
Student > Ph. D. Student | 7 | 6% |
Student > Bachelor | 5 | 4% |
Other | 15 | 13% |
Unknown | 63 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 15% |
Unspecified | 9 | 8% |
Medicine and Dentistry | 8 | 7% |
Engineering | 8 | 7% |
Physics and Astronomy | 2 | 2% |
Other | 8 | 7% |
Unknown | 65 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 April 2021.
All research outputs
#13,830,240
of 23,885,338 outputs
Outputs from BMC Medicine
#2,915
of 3,628 outputs
Outputs of similar age
#199,233
of 427,724 outputs
Outputs of similar age from BMC Medicine
#55
of 72 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,628 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. This one is in the 19th percentile – i.e., 19% 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 427,724 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 52% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.