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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network
|
|---|---|
| Published in |
BMC Medical Imaging, September 2021
|
| DOI | 10.1186/s12880-021-00662-9 |
| Pubmed ID | |
| Authors |
Yemei Liu, Pei Yang, Yong Pi, Lisha Jiang, Xiao Zhong, Junjun Cheng, Yongzhao Xiang, Jianan Wei, Lin Li, Zhang Yi, Huawei Cai, Zhen Zhao |
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 % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Researcher | 2 | 7% |
| Student > Master | 2 | 7% |
| Lecturer | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 16 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 15% |
| Medicine and Dentistry | 2 | 7% |
| Nursing and Health Professions | 2 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 16 | 59% |
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 14 September 2021.
All research outputs
#13,510,424
of 23,310,485 outputs
Outputs from BMC Medical Imaging
#148
of 614 outputs
Outputs of similar age
#183,201
of 429,355 outputs
Outputs of similar age from BMC Medical Imaging
#4
of 16 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 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 74% 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 429,355 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 56% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.