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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel flow cytometry technique for detection of Plasmodium falciparum specific B-cells in humans: increased levels of specific B-cells in ongoing infection
|
|---|---|
| Published in |
Malaria Journal, September 2015
|
| DOI | 10.1186/s12936-015-0911-0 |
| Pubmed ID | |
| Authors |
Allan Lugaajju, Sreenivasulu B. Reddy, Caroline Rönnberg, Mats Wahlgren, Fred Kironde, Kristina E. M. Persson |
| Abstract |
Malaria caused by Plasmodium falciparum is still a major health threat in endemic areas especially for children below 5 years of age. While it is recognized that antibody immunity plays an important role in controlling the disease, knowledge of the mechanisms of sustenance and natural boosting of immunity is very limited. Before, it has not been possible to investigate malaria specific B-cells directly in flow cytometry, making it difficult to know how much of a B cell response is due to malaria, or how much is due to other immunological stimulators. This study developed a technique using quantum dots and schizont extract made from ghosts of infected erythrocytes, to be able to investigate P. falciparum specific B-cells, something that has never been done before. Major differences in P. falciparum specific B-cells were found between samples from immune (22.3 %) and non-immune (1.7 %) individuals. Samples from parasite positive individuals had the highest proportions of specific B-cells (27.9 %). The study showed increased levels of P. falciparum-specific B-cells in immune individuals, with the highest levels in active malaria infections, using a new technique that opens up new possibilities to study how these cells are sustained in vivo after natural infections. It will also be useful in vaccine studies. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Student > Master | 7 | 18% |
| Researcher | 7 | 18% |
| Student > Bachelor | 5 | 13% |
| Student > Postgraduate | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 9 | 23% |
| Agricultural and Biological Sciences | 8 | 21% |
| Medicine and Dentistry | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Engineering | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 3 | 8% |
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 28 September 2015.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from Malaria Journal
#4,015
of 5,653 outputs
Outputs of similar age
#144,243
of 276,158 outputs
Outputs of similar age from Malaria Journal
#90
of 135 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,653 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 24th percentile – i.e., 24% 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 276,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.