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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study
|
|---|---|
| Published in |
Lancet Oncology, August 2023
|
| DOI | 10.1016/s1470-2045(23)00298-x |
| Pubmed ID | |
| Authors |
Kristina Lång, Viktoria Josefsson, Anna-Maria Larsson, Stefan Larsson, Charlotte Högberg, Hanna Sartor, Solveig Hofvind, Ingvar Andersson, Aldana Rosso |
X Demographics
The data shown below were collected from the profiles of 384 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 | 68 | 18% |
| Spain | 33 | 9% |
| United Kingdom | 15 | 4% |
| Australia | 11 | 3% |
| France | 11 | 3% |
| India | 7 | 2% |
| Japan | 6 | 2% |
| Ireland | 6 | 2% |
| Mexico | 6 | 2% |
| Other | 62 | 16% |
| Unknown | 159 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 255 | 66% |
| Practitioners (doctors, other healthcare professionals) | 64 | 17% |
| Scientists | 58 | 15% |
| Science communicators (journalists, bloggers, editors) | 7 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 179 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 29 | 16% |
| Researcher | 16 | 9% |
| Other | 12 | 7% |
| Student > Bachelor | 11 | 6% |
| Student > Master | 9 | 5% |
| Other | 24 | 13% |
| Unknown | 78 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 22% |
| Unspecified | 23 | 13% |
| Engineering | 7 | 4% |
| Computer Science | 7 | 4% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Other | 22 | 12% |
| Unknown | 76 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2205. 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 April 2024.
All research outputs
#3,940
of 25,836,587 outputs
Outputs from Lancet Oncology
#5
of 6,956 outputs
Outputs of similar age
#104
of 362,640 outputs
Outputs of similar age from Lancet Oncology
#1
of 90 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,956 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.4. 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 362,640 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 99% of its contemporaries.
We're also able to compare this research output to 90 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 98% of its contemporaries.