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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression
|
|---|---|
| Published in |
Genome Medicine, November 2015
|
| DOI | 10.1186/s13073-015-0240-5 |
| Pubmed ID | |
| Authors |
Jelle Scholtalbers, Sebastian Boegel, Thomas Bukur, Marius Byl, Sebastian Goerges, Patrick Sorn, Martin Loewer, Ugur Sahin, John C. Castle |
| Abstract |
Human cancer cell lines are an important resource for research and drug development. However, the available annotations of cell lines are sparse, incomplete, and distributed in multiple repositories. Re-analyzing publicly available raw RNA-Seq data, we determined the human leukocyte antigen (HLA) type and abundance, identified expressed viruses and calculated gene expression of 1,082 cancer cell lines. Using the determined HLA types, public databases of cell line mutations, and existing HLA binding prediction algorithms, we predicted antigenic mutations in each cell line. We integrated the results into a comprehensive knowledgebase. Using the Django web framework, we provide an interactive user interface with advanced search capabilities to find and explore cell lines and an application programming interface to extract cell line information. The portal is available at http://celllines.tron-mainz.de . |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| Spain | 2 | 15% |
| Germany | 1 | 8% |
| United States | 1 | 8% |
| France | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 148 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 23% |
| Student > Ph. D. Student | 23 | 15% |
| Student > Master | 12 | 8% |
| Student > Bachelor | 11 | 7% |
| Other | 11 | 7% |
| Other | 25 | 17% |
| Unknown | 33 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 23% |
| Agricultural and Biological Sciences | 24 | 16% |
| Immunology and Microbiology | 15 | 10% |
| Medicine and Dentistry | 15 | 10% |
| Computer Science | 4 | 3% |
| Other | 19 | 13% |
| Unknown | 37 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 July 2022.
All research outputs
#4,232,519
of 24,124,090 outputs
Outputs from Genome Medicine
#845
of 1,493 outputs
Outputs of similar age
#66,787
of 394,940 outputs
Outputs of similar age from Genome Medicine
#16
of 42 outputs
Altmetric has tracked 24,124,090 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,493 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 43rd percentile – i.e., 43% 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 394,940 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 83% of its contemporaries.
We're also able to compare this research output to 42 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 64% of its contemporaries.