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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated lesion detection of breast cancer in [18F] FDG PET/CT using a novel AI-Based workflow
|
|---|---|
| Published in |
Frontiers in oncology, November 2022
|
| DOI | 10.3389/fonc.2022.1007874 |
| Pubmed ID | |
| Authors |
Jeffrey P. Leal, Steven P. Rowe, Vered Stearns, Roisin M. Connolly, Christos Vaklavas, Minetta C. Liu, Anna Maria Storniolo, Richard L. Wahl, Martin G. Pomper, Lilja B. Solnes |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| France | 1 | 10% |
| Netherlands | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Unspecified | 1 | 4% |
| Lecturer | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 14 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 17% |
| Medicine and Dentistry | 2 | 8% |
| Environmental Science | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 December 2022.
All research outputs
#6,985,638
of 26,179,695 outputs
Outputs from Frontiers in oncology
#2,315
of 22,919 outputs
Outputs of similar age
#118,347
of 434,665 outputs
Outputs of similar age from Frontiers in oncology
#129
of 1,546 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 22,919 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 89% 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 434,665 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 72% of its contemporaries.
We're also able to compare this research output to 1,546 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 91% of its contemporaries.