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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of chest CT-based imaging biomarkers for early stage COVID-19 screening
|
|---|---|
| Published in |
Frontiers in Public Health, September 2022
|
| DOI | 10.3389/fpubh.2022.1004117 |
| Pubmed ID | |
| Authors |
Xiao-Ping Liu, Xu Yang, Miao Xiong, Xuanyu Mao, Xiaoqing Jin, Zhiqiang Li, Shuang Zhou, Hang Chang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 17% |
| Netherlands | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 6 | 21% |
| Student > Bachelor | 4 | 14% |
| Researcher | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Other | 7 | 25% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 36% |
| Unspecified | 6 | 21% |
| Computer Science | 2 | 7% |
| Environmental Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 6 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 October 2022.
All research outputs
#1,916,283
of 23,523,017 outputs
Outputs from Frontiers in Public Health
#775
of 11,192 outputs
Outputs of similar age
#41,034
of 436,663 outputs
Outputs of similar age from Frontiers in Public Health
#41
of 1,381 outputs
Altmetric has tracked 23,523,017 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,192 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 436,663 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1,381 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.