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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction
|
|---|---|
| Published in |
Frontiers in oncology, August 2022
|
| DOI | 10.3389/fonc.2022.980793 |
| Pubmed ID | |
| Authors |
Meredith A. Jones, Warid Islam, Rozwat Faiz, Xuxin Chen, Bin Zheng |
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 % |
|---|---|---|
| Netherlands | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 20% |
| Researcher | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 22 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 17% |
| Medicine and Dentistry | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 24 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 November 2022.
All research outputs
#15,754,982
of 25,392,582 outputs
Outputs from Frontiers in oncology
#4,979
of 22,436 outputs
Outputs of similar age
#207,066
of 429,773 outputs
Outputs of similar age from Frontiers in oncology
#357
of 1,771 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 75% 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 429,773 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 50% of its contemporaries.
We're also able to compare this research output to 1,771 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.