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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparative study of sickle cell anemia and hemoglobin SC disease: clinical characterization, laboratory biomarkers and genetic profiles
|
|---|---|
| Published in |
BMC Hematology, September 2017
|
| DOI | 10.1186/s12878-017-0087-7 |
| Pubmed ID | |
| Authors |
Milena Magalhães Aleluia, Teresa Cristina Cardoso Fonseca, Regiana Quinto Souza, Fábia Idalina Neves, Caroline Conceição da Guarda, Rayra Pereira Santiago, Bruna Laís Almeida Cunha, Camylla Villas Boas Figueiredo, Sânzio Silva Santana, Silvana Sousa da Paz, Júnia Raquel Dutra Ferreira, Bruno Antônio Veloso Cerqueira, Marilda de Souza Gonçalves |
| Abstract |
In this study, we evaluate the association of different clinical profiles, laboratory and genetic biomarkers in patients with sickle cell anemia (SCA) and hemoglobin SC disease (HbSC) in attempt to characterize the sickle cell disease (SCD) genotypes. We conducted a cross-sectional study from 2013 to 2014 in 200 SCD individuals (141 with SCA; 59 with HbSC) and analyzed demographic data to characterize the study population. In addition, we determined the association of hematological, biochemical and genetic markers including the β(S)-globin gene haplotypes and the 3.7 Kb deletion of α-thalassemia (-α(3.7Kb)-thal), as well as the occurrence of clinical events in both SCD genotypes. Laboratory parameters showed a hemolytic profile associated with endothelial dysfunction in SCA individuals; however, the HbSC genotype was more associated with increased blood viscosity and inflammatory conditions. The BEN haplotype was the most frequently observed and was associated with elevated fetal hemoglobin (HbF) and low S hemoglobin (HbS). The -α(3.7Kb)-thal prevalence was 0.09 (9%), and it was associated with elevated hemoglobin and hematocrit concentrations. Clinical events were more frequent in SCA patients. Our data emphasize the differences between SCA and HbSC patients based on laboratory parameters and the clinical and genetic profile of both genotypes. |
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 States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 24 | 20% |
| Student > Master | 13 | 11% |
| Student > Doctoral Student | 11 | 9% |
| Student > Ph. D. Student | 10 | 8% |
| Other | 8 | 7% |
| Other | 23 | 19% |
| Unknown | 33 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 25% |
| Biochemistry, Genetics and Molecular Biology | 27 | 22% |
| Agricultural and Biological Sciences | 7 | 6% |
| Nursing and Health Professions | 7 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 40 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 September 2018.
All research outputs
#14,955,443
of 23,003,906 outputs
Outputs from BMC Hematology
#37
of 82 outputs
Outputs of similar age
#187,457
of 316,186 outputs
Outputs of similar age from BMC Hematology
#2
of 4 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 82 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 48th percentile – i.e., 48% 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 316,186 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.