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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated image-based assay for evaluation of HIV neutralization and cell-to-cell fusion inhibition
|
|---|---|
| Published in |
BMC Infectious Diseases, August 2014
|
| DOI | 10.1186/1471-2334-14-472 |
| Pubmed ID | |
| Authors |
Enas Sheik-Khalil, Mark-Anthony Bray, Gülsen Özkaya Şahin, Gabriella Scarlatti, Marianne Jansson, Anne E Carpenter, Eva Maria Fenyö |
| Abstract |
Standardized techniques to detect HIV-neutralizing antibody responses are of great importance in the search for an HIV vaccine. |
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 % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Nigeria | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 24% |
| Researcher | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Lecturer | 1 | 5% |
| Professor | 1 | 5% |
| Other | 5 | 24% |
| Unknown | 5 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 19% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Engineering | 3 | 14% |
| Medicine and Dentistry | 2 | 10% |
| Computer Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 29% |
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 2018.
All research outputs
#7,445,571
of 22,761,738 outputs
Outputs from BMC Infectious Diseases
#2,532
of 7,665 outputs
Outputs of similar age
#75,901
of 236,046 outputs
Outputs of similar age from BMC Infectious Diseases
#58
of 156 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,665 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 62% 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 236,046 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 156 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 62% of its contemporaries.