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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
|
|---|---|
| Published in |
European Radiology, April 2019
|
| DOI | 10.1007/s00330-019-06186-9 |
| Pubmed ID | |
| Authors |
Alejandro Rodriguez-Ruiz, Kristina Lång, Albert Gubern-Merida, Jonas Teuwen, Mireille Broeders, Gisella Gennaro, Paola Clauser, Thomas H. Helbich, Margarita Chevalier, Thomas Mertelmeier, Matthew G. Wallis, Ingvar Andersson, Sophia Zackrisson, Ioannis Sechopoulos, Ritse M. Mann |
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 % |
|---|---|---|
| Mexico | 1 | 17% |
| United States | 1 | 17% |
| Hungary | 1 | 17% |
| Netherlands | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 227 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 12% |
| Student > Ph. D. Student | 27 | 12% |
| Student > Master | 24 | 11% |
| Student > Bachelor | 23 | 10% |
| Other | 10 | 4% |
| Other | 33 | 15% |
| Unknown | 82 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 43 | 19% |
| Computer Science | 20 | 9% |
| Engineering | 17 | 7% |
| Nursing and Health Professions | 13 | 6% |
| Agricultural and Biological Sciences | 5 | 2% |
| Other | 31 | 14% |
| Unknown | 98 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 01 June 2022.
All research outputs
#1,569,221
of 25,413,176 outputs
Outputs from European Radiology
#102
of 4,985 outputs
Outputs of similar age
#33,845
of 347,850 outputs
Outputs of similar age from European Radiology
#4
of 97 outputs
Altmetric has tracked 25,413,176 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 4,985 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 98% 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 347,850 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 97 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 96% of its contemporaries.