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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
|
|---|---|
| Published in |
BMC Medical Imaging, January 2023
|
| DOI | 10.1186/s12880-023-00964-0 |
| Pubmed ID | |
| Authors |
Mahati Munikoti Srikantamurthy, V. P. Subramanyam Rallabandi, Dawood Babu Dudekula, Sathishkumar Natarajan, Junhyung Park |
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 % |
|---|---|---|
| India | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 9% |
| Student > Ph. D. Student | 8 | 9% |
| Unspecified | 6 | 6% |
| Lecturer | 4 | 4% |
| Student > Bachelor | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 54 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 22% |
| Engineering | 8 | 9% |
| Unspecified | 6 | 6% |
| Medicine and Dentistry | 3 | 3% |
| Immunology and Microbiology | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 52 | 56% |
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 08 February 2023.
All research outputs
#13,936,671
of 23,726,221 outputs
Outputs from BMC Medical Imaging
#160
of 624 outputs
Outputs of similar age
#169,213
of 435,024 outputs
Outputs of similar age from BMC Medical Imaging
#4
of 19 outputs
Altmetric has tracked 23,726,221 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 624 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 73% 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 435,024 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 60% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.