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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement
|
|---|---|
| Published in |
BMC Medical Imaging, August 2021
|
| DOI | 10.1186/s12880-021-00657-6 |
| Pubmed ID | |
| Authors |
Tao Wang, Na Song, Lingling Liu, Zichao Zhu, Bing Chen, Wenjun Yang, Zhiqiang Chen |
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 % |
|---|---|---|
| Netherlands | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Researcher | 3 | 9% |
| Lecturer | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 19 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 11% |
| Engineering | 4 | 11% |
| Computer Science | 3 | 9% |
| Psychology | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 21 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 August 2021.
All research outputs
#18,733,166
of 23,885,338 outputs
Outputs from BMC Medical Imaging
#349
of 628 outputs
Outputs of similar age
#296,679
of 418,863 outputs
Outputs of similar age from BMC Medical Imaging
#5
of 12 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 628 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 418,863 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% 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 has gotten more attention than average, scoring higher than 66% of its contemporaries.