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X Demographics
Mendeley readers
Attention Score in Context
Title |
Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses
|
---|---|
Published in |
Diagnostic Pathology, July 2020
|
DOI | 10.1186/s13000-020-00995-z |
Pubmed ID | |
Authors |
Liron Pantanowitz, Douglas Hartman, Yan Qi, Eun Yoon Cho, Beomseok Suh, Kyunghyun Paeng, Rajiv Dhir, Pamela Michelow, Scott Hazelhurst, Sang Yong Song, Soo Youn Cho |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 2 | 18% |
United States | 2 | 18% |
Turkey | 1 | 9% |
Thailand | 1 | 9% |
Unknown | 5 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 64% |
Scientists | 3 | 27% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 77 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 9% |
Student > Ph. D. Student | 6 | 8% |
Student > Master | 6 | 8% |
Student > Bachelor | 6 | 8% |
Student > Doctoral Student | 5 | 6% |
Other | 13 | 17% |
Unknown | 34 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 21% |
Computer Science | 7 | 9% |
Engineering | 4 | 5% |
Business, Management and Accounting | 3 | 4% |
Neuroscience | 3 | 4% |
Other | 11 | 14% |
Unknown | 33 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 20 December 2020.
All research outputs
#4,140,651
of 23,577,654 outputs
Outputs from Diagnostic Pathology
#87
of 1,158 outputs
Outputs of similar age
#99,619
of 399,032 outputs
Outputs of similar age from Diagnostic Pathology
#4
of 20 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,158 research outputs from this source. They receive a mean Attention Score of 2.9. 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 399,032 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 74% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.