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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Protein expression profiling of nuclear membrane protein reveals potential biomarker of human hepatocellular carcinoma
|
|---|---|
| Published in |
Clinical Proteomics, June 2013
|
| DOI | 10.1186/1559-0275-10-6 |
| Pubmed ID | |
| Authors |
Rizma Khan, Saadia Zahid, Yu-Jui Yvonne Wan, Jameson Forster, A-Bashar Abdul Karim, Atta M Nawabi, Abid Azhar, M Ataur Rahman, Nikhat Ahmed |
| Abstract |
Complex molecular events lead to development and progression of liver cirrhosis to HCC. Differentially expressed nuclear membrane associated proteins are responsible for the functional and structural alteration during the progression from cirrhosis to carcinoma. Although alterations/ post translational modifications in protein expression have been extensively quantified, complementary analysis of nuclear membrane proteome changes have been limited. Deciphering the molecular mechanism that differentiate between normal and disease state may lead to identification of biomarkers for carcinoma. |
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 % |
|---|---|---|
| United States | 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 20 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Student > Master | 4 | 18% |
| Student > Ph. D. Student | 4 | 18% |
| Other | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 23% |
| Medicine and Dentistry | 4 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Neuroscience | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 January 2014.
All research outputs
#14,187,012
of 22,739,983 outputs
Outputs from Clinical Proteomics
#146
of 281 outputs
Outputs of similar age
#108,567
of 194,238 outputs
Outputs of similar age from Clinical Proteomics
#1
of 1 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 194,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them