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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DevR (DosR) mimetic peptides impair transcriptional regulation and survival of Mycobacterium tuberculosis under hypoxia by inhibiting the autokinase activity of DevS sensor kinase
|
|---|---|
| Published in |
BMC Microbiology, July 2014
|
| DOI | 10.1186/1471-2180-14-195 |
| Pubmed ID | |
| Authors |
Kohinoor Kaur, Neetu Kumra Taneja, Sakshi Dhingra, Jaya S Tyagi |
| Abstract |
Two-component systems have emerged as compelling targets for antibacterial drug design for a number of reasons including the distinct histidine phosphorylation property of their constituent sensor kinases. The DevR-DevS/DosT two component system of Mycobacterium tuberculosis (M. tb) is essential for survival under hypoxia, a stress associated with dormancy development in vivo. In the present study a combinatorial peptide phage display library was screened for DevS histidine kinase interacting peptides with the aim of isolating inhibitors of DevR-DevS signaling. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 59 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Researcher | 9 | 15% |
| Student > Master | 9 | 15% |
| Student > Bachelor | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 11 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 23% |
| Biochemistry, Genetics and Molecular Biology | 13 | 22% |
| Immunology and Microbiology | 5 | 8% |
| Chemistry | 5 | 8% |
| Medicine and Dentistry | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 13 | 22% |
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 23 July 2014.
All research outputs
#20,233,066
of 22,758,963 outputs
Outputs from BMC Microbiology
#2,685
of 3,184 outputs
Outputs of similar age
#192,446
of 228,570 outputs
Outputs of similar age from BMC Microbiology
#38
of 48 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,184 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% 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 228,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.