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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep semi-supervised learning for brain tumor classification
|
|---|---|
| Published in |
BMC Medical Imaging, July 2020
|
| DOI | 10.1186/s12880-020-00485-0 |
| Pubmed ID | |
| Authors |
Chenjie Ge, Irene Yu-Hua Gu, Asgeir Store Jakola, Jie Yang |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 18% |
| France | 2 | 12% |
| Canada | 1 | 6% |
| Germany | 1 | 6% |
| South Africa | 1 | 6% |
| Brazil | 1 | 6% |
| United Kingdom | 1 | 6% |
| Israel | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 94% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 13% |
| Researcher | 12 | 12% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 44 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 18% |
| Engineering | 13 | 13% |
| Medicine and Dentistry | 6 | 6% |
| Mathematics | 4 | 4% |
| Unspecified | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 51 | 49% |
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 25 August 2020.
All research outputs
#4,450,097
of 25,718,113 outputs
Outputs from BMC Medical Imaging
#41
of 667 outputs
Outputs of similar age
#105,378
of 428,567 outputs
Outputs of similar age from BMC Medical Imaging
#2
of 18 outputs
Altmetric has tracked 25,718,113 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 667 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 93% 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 428,567 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 75% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.