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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
|
|---|---|
| Published in |
Journal of Translational Medicine, August 2021
|
| DOI | 10.1186/s12967-021-03020-z |
| Pubmed ID | |
| Authors |
Fengling Li, Yongquan Yang, Yani Wei, Ping He, Jie Chen, Zhongxi Zheng, Hong Bu |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 12% |
| Student > Postgraduate | 3 | 5% |
| Researcher | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Lecturer | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 36 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 17% |
| Engineering | 4 | 7% |
| Medicine and Dentistry | 4 | 7% |
| Physics and Astronomy | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 39 | 65% |
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 17 August 2021.
All research outputs
#13,165,668
of 23,310,485 outputs
Outputs from Journal of Translational Medicine
#1,509
of 4,114 outputs
Outputs of similar age
#161,232
of 400,551 outputs
Outputs of similar age from Journal of Translational Medicine
#20
of 92 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 62% 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 400,551 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 59% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.