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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Detection of Matrix Metalloproteinases by Zymography
|
|---|---|
| Chapter number | 12 |
| Book title |
Matrix Metalloproteases
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/978-1-4939-6863-3_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6861-9, 978-1-4939-6863-3
|
| Authors |
Rajeev B. Tajhya, Rutvik S. Patel, Christine Beeton, Tajhya, Rajeev B., Patel, Rutvik S., Beeton, Christine |
| Editors |
Charles A. Galea |
| Abstract |
Matrix metalloproteinases (MMPs) represent more than 20 zinc-containing endopeptidases that cleave internal peptide bonds, leading to protein degradation. They play a critical role in many physiological cell functions, including tissue remodeling, embryogenesis, and angiogenesis. They are also involved in the pathogenesis of a vast array of diseases, including but not limited to systemic inflammation, various cancers, and cardiovascular, neurological, and autoimmune diseases. Here, we describe gel zymography to detect MMPs in cell and tissue samples and in cell culture supernatants. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 11 | 14% |
| Student > Doctoral Student | 7 | 9% |
| Lecturer | 2 | 3% |
| Other | 8 | 10% |
| Unknown | 28 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 24% |
| Agricultural and Biological Sciences | 9 | 11% |
| Medicine and Dentistry | 7 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Other | 10 | 13% |
| Unknown | 29 | 37% |
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 21 March 2017.
All research outputs
#18,339,860
of 22,711,242 outputs
Outputs from Methods in molecular biology
#7,851
of 13,079 outputs
Outputs of similar age
#234,431
of 307,634 outputs
Outputs of similar age from Methods in molecular biology
#187
of 313 outputs
Altmetric has tracked 22,711,242 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 13,079 research outputs from this source. They receive a mean Attention Score of 3.3. 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 307,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 313 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.