| Title |
Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review
|
|---|---|
| Published in |
Breast cancer targets and therapy, November 2018
|
| DOI | 10.2147/bctt.s175311 |
| Pubmed ID | |
| Authors |
Farahnaz Sadoughi, Zahra Kazemy, Farahnaz Hamedan, Leila Owji, Meysam Rahmanikatigari, Tahere Talebi Azadboni |
X Demographics
The data shown below were collected from the profiles of 21 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 States | 7 | 33% |
| Germany | 2 | 10% |
| India | 2 | 10% |
| United Kingdom | 1 | 5% |
| Switzerland | 1 | 5% |
| France | 1 | 5% |
| Nepal | 1 | 5% |
| Unknown | 6 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 86% |
| Scientists | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 293 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 35 | 12% |
| Researcher | 27 | 9% |
| Student > Master | 27 | 9% |
| Student > Ph. D. Student | 23 | 8% |
| Other | 12 | 4% |
| Other | 45 | 15% |
| Unknown | 124 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 14% |
| Computer Science | 36 | 12% |
| Engineering | 31 | 11% |
| Nursing and Health Professions | 13 | 4% |
| Biochemistry, Genetics and Molecular Biology | 7 | 2% |
| Other | 32 | 11% |
| Unknown | 134 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 23 November 2022.
All research outputs
#2,268,009
of 25,562,515 outputs
Outputs from Breast cancer targets and therapy
#26
of 325 outputs
Outputs of similar age
#47,032
of 364,091 outputs
Outputs of similar age from Breast cancer targets and therapy
#3
of 8 outputs
Altmetric has tracked 25,562,515 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 92% 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 364,091 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.