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Mendeley readers
Attention Score in Context
| Title |
Human Pituitary Adenoma Proteomics: New Progresses and Perspectives
|
|---|---|
| Published in |
Frontiers in endocrinology, May 2016
|
| DOI | 10.3389/fendo.2016.00054 |
| Pubmed ID | |
| Authors |
Xianquan Zhan, Xiaowei Wang, Tingting Cheng |
| Abstract |
Pituitary adenoma (PA) is a common intracranial neoplasm that impacts on human health through interfering hypothalamus-pituitary-target organ axis systems. The development of proteomics gives great promises in the clarification of molecular mechanisms of a PA and discovery of effective biomarkers for prediction, prevention, early-stage diagnosis, and treatment for a PA. A great progress in the field of PA proteomics has been made in the past 10 years, including (i) the use of laser-capture microdissection, (ii) proteomics analyses of functional PAs (such as prolactinoma), invasive and non-invasive non-functional pituitary adenomas (NFPAs), protein post-translational modifications such as phosphorylation and tyrosine nitration, NFPA heterogeneity, and hormone isoforms, (iii) the use of protein antibody array, (iv) serum proteomics and peptidomics, (v) the integration of proteomics and other omics data, and (vi) the proposal of multi-parameter systematic strategy for a PA. This review will summarize these progresses of proteomics in PAs, point out the existing drawbacks, propose the future research directions, and address the clinical relevance of PA proteomics data, in order to achieve our long-term goal that is use of proteomics to clarify molecular mechanisms, construct molecular networks, and discover effective biomarkers. |
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 % |
|---|---|---|
| Switzerland | 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 7 | 20% |
| Student > Ph. D. Student | 5 | 14% |
| Researcher | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 9% |
| Other | 4 | 11% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 34% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Agricultural and Biological Sciences | 3 | 9% |
| Engineering | 2 | 6% |
| Neuroscience | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 8 | 23% |
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 31 May 2016.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Frontiers in endocrinology
#6,734
of 13,012 outputs
Outputs of similar age
#269,885
of 353,672 outputs
Outputs of similar age from Frontiers in endocrinology
#39
of 62 outputs
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So far Altmetric has tracked 13,012 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.