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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cytokines associated with Burkitt’s lymphoma in western Kenya
|
|---|---|
| Published in |
BMC Research Notes, October 2017
|
| DOI | 10.1186/s13104-017-2841-0 |
| Pubmed ID | |
| Authors |
Isaac Ndede, Simeon K. Mining, Kirtika Patel, Fredrick M. Wanjala, David Chumba, Constance Tenge |
| Abstract |
Burkitt's lymphoma (BL) is a common aggressive non-Hodgkin's lymphoma in East and Central Africa among children. Persistent infections with Epstein Barr virus or Plasmodium falciparum are associated with immune hyperstimulation. It is hypothesised that inadvertent cytokine responses to infections indirectly or directly influence B cell neoplastic transformation through c-myelocytomatosis (c-myc) gene translocation. We sought to describe cytokines in children and adolescents with BL. Participants were recruited from western Kenya with parental consent, diagnosis confirmed using histology and consensus panel of immunohistochemistry antibodies. T helper1/2/17A and transforming growth factor-β1 (TGF-β1) cytokines were estimated using cytometric bead array in plasma. Complete blood counts (CBC) were determined by Beckman Coulter(®). Out of 104 enrolled participants, 32% were confirmed BL and 68% grouped as non-BL. Mean (pg/ml) levels of cytokines in BL and non-BL were: interleukin (IL)-6 100.3 and 39.4 p = 0.152; IL-10 11.5 and 12.5 p = 0.363; IL-17A 17.8 and 64.9 p = 0.094 respectively. Expressions of interferon-γ, IL-2 and tumour necrosis factor-α were low and TGF-β1 undetectable in both groups. Mean CBC differed between the two groups before and after chemotherapy, WBC being significantly so. Interleukin-6, IL-17A and IL-10 responses to infections in the study area may be associated with pathogenesis and be potential therapeutic targets. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 > Master | 4 | 19% |
| Student > Ph. D. Student | 4 | 19% |
| Lecturer > Senior Lecturer | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Other | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 29% |
| Immunology and Microbiology | 3 | 14% |
| Nursing and Health Professions | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 33% |
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 29 October 2017.
All research outputs
#17,918,662
of 23,007,053 outputs
Outputs from BMC Research Notes
#2,850
of 4,283 outputs
Outputs of similar age
#235,018
of 328,360 outputs
Outputs of similar age from BMC Research Notes
#88
of 148 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 29th percentile – i.e., 29% 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 328,360 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.