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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of long-term kinetics of vaccine-elicited neutralizing antibody and time-varying vaccine-specific efficacy against the SARS-CoV-2 Delta variant by clinical endpoint
|
|---|---|
| Published in |
BMC Medicine, January 2022
|
| DOI | 10.1186/s12916-022-02249-9 |
| Pubmed ID | |
| Authors |
Xinhua Chen, Wei Wang, Xinghui Chen, Qianhui Wu, Ruijia Sun, Shijia Ge, Nan Zheng, Wanying Lu, Juan Yang, Lance Rodewald, Hongjie Yu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 13% |
| Student > Bachelor | 7 | 13% |
| Student > Master | 6 | 11% |
| Student > Postgraduate | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 4 | 7% |
| Unknown | 24 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 20% |
| Nursing and Health Professions | 3 | 6% |
| Engineering | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 25 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 21 February 2022.
All research outputs
#3,183,513
of 23,172,045 outputs
Outputs from BMC Medicine
#1,819
of 3,485 outputs
Outputs of similar age
#79,058
of 506,314 outputs
Outputs of similar age from BMC Medicine
#38
of 101 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,485 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 47th percentile – i.e., 47% 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 506,314 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 84% of its contemporaries.
We're also able to compare this research output to 101 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 61% of its contemporaries.