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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Nuclear Receptor Superfamily at Thirty
|
|---|---|
| Chapter number | 1 |
| Book title |
The Nuclear Receptor Superfamily
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3724-0_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3722-6, 978-1-4939-3724-0
|
| Authors |
Iain J. McEwan, McEwan, Iain J. |
| Abstract |
The human genome codes for 48 members of the nuclear receptor superfamily, half of which have known ligands. Natural ligands for nuclear receptors are generally lipophilic in nature and include steroid hormones, bile acids, fatty acids, thyroid hormones, certain vitamins, and prostaglandins. Nuclear receptors regulate gene expression programs controlling development, differentiation, metabolic homeostasis and reproduction, in both a temporal and a tissue-selective manner. Since the original cloning of the cDNAs for the estrogen and glucocorticoid receptors, large strides have been made in our understanding of the structure and function of this family of transcription factors and their role in pathophysiology. |
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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 29% |
| Researcher | 10 | 24% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 38% |
| Agricultural and Biological Sciences | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 10% |
| Chemistry | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 10 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 June 2016.
All research outputs
#18,611,191
of 23,054,359 outputs
Outputs from Methods in molecular biology
#7,982
of 13,196 outputs
Outputs of similar age
#285,760
of 394,794 outputs
Outputs of similar age from Methods in molecular biology
#845
of 1,471 outputs
Altmetric has tracked 23,054,359 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,196 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 394,794 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.