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Mendeley readers
Attention Score in Context
Title |
Designing biologic selectivity for inflammatory bowel disease – role of vedolizumab
|
---|---|
Published in |
Drug Design, Development and Therapy, December 2014
|
DOI | 10.2147/dddt.s50348 |
Pubmed ID | |
Authors |
Niklas Krupka, Daniel C Baumgart |
Abstract |
Crohn's disease and ulcerative colitis are two chronic inflammatory bowel conditions. Current approved biologic therapies are limited to blocking tumor necrosis factor alpha. Unfortunately, some patients are primary nonresponders, experiencing a loss of response, intolerance, or side effects. This defines an unmet need for novel therapeutic strategies. The rapid recruitment and inappropriate retention of leukocytes is a hallmark of chronic inflammation and a potentially promising therapeutic target. Here we discuss the clinical trial results of vedolizumab (anti-α4β7, LDP-02, MLN-02, and MLN0002) and its impact on future management of inflammatory bowel disease. |
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 % |
---|---|---|
India | 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 14% |
Researcher | 7 | 14% |
Student > Bachelor | 5 | 10% |
Other | 5 | 10% |
Student > Postgraduate | 5 | 10% |
Other | 12 | 24% |
Unknown | 10 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 22 | 43% |
Unspecified | 4 | 8% |
Agricultural and Biological Sciences | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Computer Science | 2 | 4% |
Other | 5 | 10% |
Unknown | 13 | 25% |
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 05 January 2015.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Drug Design, Development and Therapy
#1,437
of 2,268 outputs
Outputs of similar age
#274,289
of 369,139 outputs
Outputs of similar age from Drug Design, Development and Therapy
#30
of 48 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 22nd percentile – i.e., 22% 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 369,139 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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.