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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systems level mapping of metabolic complexity in Mycobacterium tuberculosis to identify high-value drug targets
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2014
|
| DOI | 10.1186/s12967-014-0263-5 |
| Pubmed ID | |
| Authors |
Rohit Vashisht, Ashwini G Bhat, Shreeram Kushwaha, Anshu Bhardwaj, OSDD Consortium, Samir K Brahmachari |
| Abstract |
The effectiveness of current therapeutic regimens for Mycobacterium tuberculosis (Mtb) is diminished by the need for prolonged therapy and the rise of drug resistant/tolerant strains. This global health threat, despite decades of basic research and a wealth of legacy knowledge, is due to a lack of systems level understanding that can innovate the process of fast acting and high efficacy drug discovery. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 29% |
| United Kingdom | 3 | 21% |
| Italy | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| United States | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 83 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Researcher | 16 | 18% |
| Student > Master | 12 | 14% |
| Professor > Associate Professor | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 32% |
| Biochemistry, Genetics and Molecular Biology | 13 | 15% |
| Medicine and Dentistry | 6 | 7% |
| Immunology and Microbiology | 4 | 5% |
| Psychology | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 23 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 March 2015.
All research outputs
#2,640,970
of 22,765,347 outputs
Outputs from Journal of Translational Medicine
#418
of 3,982 outputs
Outputs of similar age
#31,579
of 256,089 outputs
Outputs of similar age from Journal of Translational Medicine
#3
of 79 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,982 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 89% 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 256,089 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.