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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data
|
|---|---|
| Published in |
Genome Medicine, March 2018
|
| DOI | 10.1186/s13073-018-0528-3 |
| Pubmed ID | |
| Authors |
Amit A. Upadhyay, Robert C. Kauffman, Amber N. Wolabaugh, Alice Cho, Nirav B. Patel, Samantha M. Reiss, Colin Havenar-Daughton, Reem A. Dawoud, Gregory K. Tharp, Iñaki Sanz, Bali Pulendran, Shane Crotty, F. Eun-Hyung Lee, Jens Wrammert, Steven E. Bosinger |
| Abstract |
B cells play a critical role in the immune response by producing antibodies, which display remarkable diversity. Here we describe a bioinformatic pipeline, BALDR (BCR Assignment of Lineage using De novo Reconstruction) that accurately reconstructs the paired heavy and light chain immunoglobulin gene sequences from Illumina single-cell RNA-seq data. BALDR was accurate for clonotype identification in human and rhesus macaque influenza vaccine and simian immunodeficiency virus vaccine induced vaccine-induced plasmablasts and naïve and antigen-specific memory B cells. BALDR enables matching of clonotype identity with single-cell transcriptional information in B cell lineages and will have broad application in the fields of vaccines, human immunodeficiency virus broadly neutralizing antibody development, and cancer.BALDR is available at https://github.com/BosingerLab/BALDR . |
X Demographics
The data shown below were collected from the profiles of 26 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 States | 7 | 27% |
| Mexico | 1 | 4% |
| India | 1 | 4% |
| Israel | 1 | 4% |
| Italy | 1 | 4% |
| Norway | 1 | 4% |
| Indonesia | 1 | 4% |
| France | 1 | 4% |
| United Kingdom | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 62% |
| Scientists | 9 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 23% |
| Student > Ph. D. Student | 19 | 19% |
| Student > Master | 10 | 10% |
| Student > Bachelor | 5 | 5% |
| Professor > Associate Professor | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 27 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 23 | 23% |
| Biochemistry, Genetics and Molecular Biology | 20 | 20% |
| Agricultural and Biological Sciences | 12 | 12% |
| Medicine and Dentistry | 6 | 6% |
| Computer Science | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 29 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 June 2022.
All research outputs
#1,469,107
of 23,884,161 outputs
Outputs from Genome Medicine
#319
of 1,481 outputs
Outputs of similar age
#33,685
of 335,505 outputs
Outputs of similar age from Genome Medicine
#9
of 25 outputs
Altmetric has tracked 23,884,161 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done well, scoring higher than 78% 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 335,505 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 25 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 68% of its contemporaries.