| Title |
COVID19 antibody detection using lateral flow assay tests in a cohort of convalescent plasma donors
|
|---|---|
| Published in |
BMC Research Notes, August 2020
|
| DOI | 10.1186/s13104-020-05212-0 |
| Pubmed ID | |
| Authors |
Brett Ragnesola, Daniel Jin, Christopher C. Lamb, Beth H. Shaz, Christopher D. Hillyer, Larry L. Luchsinger |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 3 | 50% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 14% |
| Student > Master | 15 | 9% |
| Student > Bachelor | 14 | 8% |
| Researcher | 12 | 7% |
| Student > Doctoral Student | 8 | 5% |
| Other | 32 | 19% |
| Unknown | 62 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 15% |
| Biochemistry, Genetics and Molecular Biology | 17 | 10% |
| Nursing and Health Professions | 8 | 5% |
| Engineering | 7 | 4% |
| Chemistry | 5 | 3% |
| Other | 26 | 16% |
| Unknown | 79 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 December 2021.
All research outputs
#6,695,536
of 23,881,329 outputs
Outputs from BMC Research Notes
#1,003
of 4,300 outputs
Outputs of similar age
#141,760
of 401,099 outputs
Outputs of similar age from BMC Research Notes
#16
of 85 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 76% 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 401,099 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 64% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.