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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, April 2019
|
| DOI | 10.3389/fbioe.2019.00053 |
| Pubmed ID | |
| Authors |
Quoc Dang Vu, Simon Graham, Tahsin Kurc, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Jayashree Kalpathy-Cramer, Tianhao Zhao, Rajarsi Gupta, Jin Tae Kwak, Nasir Rajpoot, Joel Saltz, Keyvan Farahani |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 20% |
| United States | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 269 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 21% |
| Researcher | 36 | 13% |
| Student > Master | 32 | 12% |
| Student > Bachelor | 17 | 6% |
| Student > Doctoral Student | 12 | 4% |
| Other | 29 | 11% |
| Unknown | 87 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 61 | 23% |
| Engineering | 39 | 14% |
| Medicine and Dentistry | 25 | 9% |
| Biochemistry, Genetics and Molecular Biology | 14 | 5% |
| Agricultural and Biological Sciences | 6 | 2% |
| Other | 28 | 10% |
| Unknown | 96 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 November 2020.
All research outputs
#6,253,275
of 23,138,859 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#912
of 6,821 outputs
Outputs of similar age
#117,585
of 351,414 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#29
of 89 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 6,821 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 86% 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 351,414 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 66% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.