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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation of Whole-slide Digitally Imaged Melanocytic Lesions: Does Z-Stack Scanning Improve Diagnostic Accuracy?
|
|---|---|
| Published in |
Journal of Pathology Informatics, February 2019
|
| DOI | 10.4103/jpi.jpi_46_18 |
| Pubmed ID | |
| Authors |
Bart Sturm, David Creytens, Martin G. Cook, Jan Smits, Marcory C. R. F. van Dijk, Erik Eijken, Eline Kurpershoek, Heidi V. N. Küsters-Vandevelde, Ariadne H. A. G. Ooms, Carla Wauters, Willeke A. M. Blokx, Jeroen A. W. M. van der Laak |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 42% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Other | 1 | 3% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 27% |
| Business, Management and Accounting | 7 | 21% |
| Environmental Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 12 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 April 2019.
All research outputs
#15,100,333
of 25,385,509 outputs
Outputs from Journal of Pathology Informatics
#193
of 409 outputs
Outputs of similar age
#192,907
of 366,743 outputs
Outputs of similar age from Journal of Pathology Informatics
#7
of 12 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 409 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 51% 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 366,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.