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Mendeley readers
Attention Score in Context
| Title |
The genomic organization of NKG2C, E, F, and D receptor genes in the human natural killer gene complex
|
|---|---|
| Published in |
Immunogenetics, July 1998
|
| DOI | 10.1007/s002510050420 |
| Pubmed ID | |
| Authors |
Jens Glienke, Yuri Sobanov, Christine Brostjan, Christina Steffens, Catherine Nguyen, Hans Lehrach, E. Hofer, F. Francis |
| Abstract |
Interactions of natural killer cell receptors with their cognate ligands play a major role in regulating NK cell function. The NKG2 gene family encodes several highly similar proteins, which are known to form heterodimers with the CD94 receptor. These dimers play a role in the inhibition as well as the activation of NK cells. We have analyzed the gene structures of the NKG2C, D, E, and F genes, and determined their genomic organization. Restriction mapping and sequencing revealed the four genes to be closely linked to one another, and of the same transcriptional orientation. An exon duplication within the NKG2C and E genes was identified, although the duplicated version of this exon has not yet been found in mRNA sequences. The NKG2C, E, and F genes, despite being highly similar, are variable at their 3' ends. We show that NKG2C consists of six exons, whereas NKG2E has seven, and the splice acceptor site for the seventh exon occurs in an Alu repeat. NKG2F consists of only four exons and part of exon IV is in some cases spliced to the 5' end of the NKG2D transcript. NKG2D has only a low similarity to the other NKG2 genes. |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Singapore | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 45 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Researcher | 7 | 15% |
| Student > Bachelor | 6 | 13% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Other | 11 | 23% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 31% |
| Immunology and Microbiology | 11 | 23% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 8 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 December 2019.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Immunogenetics
#350
of 1,215 outputs
Outputs of similar age
#10,344
of 32,510 outputs
Outputs of similar age from Immunogenetics
#5
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,215 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 28th percentile – i.e., 28% 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 32,510 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 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.