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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolution and comparative analysis of the MHC Class III inflammatory region
|
|---|---|
| Published in |
BMC Genomics, November 2006
|
| DOI | 10.1186/1471-2164-7-281 |
| Pubmed ID | |
| Authors |
Janine E Deakin, Anthony T Papenfuss, Katherine Belov, Joseph GR Cross, Penny Coggill, Sophie Palmer, Sarah Sims, Terence P Speed, Stephan Beck, Jennifer A Marshall Graves |
| Abstract |
The Major Histocompatibility Complex (MHC) is essential for immune function. Historically, it has been subdivided into three regions (Class I, II, and III), but a cluster of functionally related genes within the Class III region has also been referred to as the Class IV region or "inflammatory region". This group of genes is involved in the inflammatory response, and includes members of the tumour necrosis family. Here we report the sequencing, annotation and comparative analysis of a tammar wallaby BAC containing the inflammatory region. We also discuss the extent of sequence conservation across the entire region and identify elements conserved in evolution. |
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 % |
|---|---|---|
| Unknown | 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Denmark | 1 | <1% |
| Norway | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 100 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 26% |
| Researcher | 23 | 22% |
| Student > Master | 9 | 9% |
| Student > Bachelor | 7 | 7% |
| Professor | 6 | 6% |
| Other | 17 | 16% |
| Unknown | 15 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 44% |
| Biochemistry, Genetics and Molecular Biology | 20 | 19% |
| Immunology and Microbiology | 7 | 7% |
| Medicine and Dentistry | 4 | 4% |
| Computer Science | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 17 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 April 2019.
All research outputs
#6,945,440
of 22,775,504 outputs
Outputs from BMC Genomics
#3,213
of 10,642 outputs
Outputs of similar age
#23,036
of 69,639 outputs
Outputs of similar age from BMC Genomics
#13
of 31 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 68% 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 69,639 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 31 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 58% of its contemporaries.