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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future
|
|---|---|
| Published in |
Cancer Cell International, May 2021
|
| DOI | 10.1186/s12935-021-01981-1 |
| Pubmed ID | |
| Authors |
Muhammad Javed Iqbal, Zeeshan Javed, Haleema Sadia, Ijaz A. Qureshi, Asma Irshad, Rais Ahmed, Kausar Malik, Shahid Raza, Asif Abbas, Raffaele Pezzani, Javad Sharifi-Rad |
X Demographics
The data shown below were collected from the profiles of 23 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 | 2 | 9% |
| Brazil | 1 | 4% |
| Austria | 1 | 4% |
| China | 1 | 4% |
| Italy | 1 | 4% |
| Switzerland | 1 | 4% |
| Malaysia | 1 | 4% |
| India | 1 | 4% |
| Unknown | 14 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 70% |
| Scientists | 4 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 354 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 354 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 9% |
| Student > Master | 30 | 8% |
| Researcher | 21 | 6% |
| Student > Bachelor | 19 | 5% |
| Unspecified | 15 | 4% |
| Other | 47 | 13% |
| Unknown | 191 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 6% |
| Medicine and Dentistry | 20 | 6% |
| Biochemistry, Genetics and Molecular Biology | 19 | 5% |
| Engineering | 18 | 5% |
| Unspecified | 14 | 4% |
| Other | 65 | 18% |
| Unknown | 195 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 10 March 2024.
All research outputs
#1,696,437
of 25,769,258 outputs
Outputs from Cancer Cell International
#20
of 2,287 outputs
Outputs of similar age
#43,230
of 460,801 outputs
Outputs of similar age from Cancer Cell International
#1
of 124 outputs
Altmetric has tracked 25,769,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 99% 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 460,801 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.