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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Small-Molecule Inhibitors of PARPs: From Tools for Investigating ADP-Ribosylation to Therapeutics
|
|---|---|
| Chapter number | 137 |
| Book title |
Activity-Based Protein Profiling
|
| Published in |
Current topics in microbiology and immunology, September 2018
|
| DOI | 10.1007/82_2018_137 |
| Pubmed ID | |
| Book ISBNs |
978-3-03-011142-7, 978-3-03-011143-4
|
| Authors |
Ilsa T. Kirby, Michael S. Cohen, Kirby, Ilsa T., Cohen, Michael S. |
| Abstract |
Over the last 60 years, poly-ADP-ribose polymerases (PARPs, 17 family members in humans) have emerged as important regulators of physiology and disease. Small-molecule inhibitors have been essential tools for unraveling PARP function, and recently the first PARP inhibitors have been approved for the treatment of various human cancers. However, inhibitors have only been developed for a few PARPs and in vitro profiling has revealed that many of these exhibit polypharmacology across the PARP family. In this review, we discuss the history, development, and current state of the field, highlighting the limitations and opportunities for PARP inhibitor development. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 19% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Postgraduate | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 6 | 23% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Agricultural and Biological Sciences | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 September 2018.
All research outputs
#7,576,264
of 23,103,903 outputs
Outputs from Current topics in microbiology and immunology
#200
of 684 outputs
Outputs of similar age
#133,840
of 340,695 outputs
Outputs of similar age from Current topics in microbiology and immunology
#5
of 8 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 684 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 51% 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 340,695 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 54% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.