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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Improving Prostate Cancer Detection with Breast Histopathology Images
|
|---|---|
| Chapter number | 11 |
| Book title |
Digital Pathology
|
| Published in |
arXiv, April 2019
|
| DOI | 10.1007/978-3-030-23937-4_11 |
| Book ISBNs |
978-3-03-023936-7, 978-3-03-023937-4
|
| Authors |
Umair Akhtar Hasan Khan, Carolin Stürenberg, Oguzhan Gencoglu, Kevin Sandeman, Timo Heikkinen, Antti Rannikko, Tuomas Mirtti, Khan, Umair Akhtar Hasan, Stürenberg, Carolin, Gencoglu, Oguzhan, Sandeman, Kevin, Heikkinen, Timo, Rannikko, Antti, Mirtti, Tuomas |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 4 | 22% |
| Singapore | 1 | 6% |
| India | 1 | 6% |
| France | 1 | 6% |
| Netherlands | 1 | 6% |
| Unknown | 10 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Practitioners (doctors, other healthcare professionals) | 4 | 22% |
| Scientists | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 9 | 18% |
| Researcher | 7 | 14% |
| Student > Bachelor | 7 | 14% |
| Student > Postgraduate | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 37% |
| Engineering | 6 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 15 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 31 October 2020.
All research outputs
#4,164,473
of 24,980,180 outputs
Outputs from arXiv
#76,068
of 1,018,032 outputs
Outputs of similar age
#81,532
of 359,482 outputs
Outputs of similar age from arXiv
#2,148
of 25,334 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,018,032 research outputs from this source. They receive a mean Attention Score of 4.1. 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 359,482 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 25,334 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.