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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A metabolic biosignature of early response to anti-tuberculosis treatment
|
|---|---|
| Published in |
BMC Infectious Diseases, January 2014
|
| DOI | 10.1186/1471-2334-14-53 |
| Pubmed ID | |
| Authors |
Sebabrata Mahapatra, Ann M Hess, John L Johnson, Kathleen D Eisenach, Mary A DeGroote, Phineas Gitta, Moses L Joloba, Gilla Kaplan, Gerhard Walzl, W Henry Boom, John T Belisle |
| Abstract |
The successful treatment of tuberculosis (TB) requires long-term multidrug chemotherapy. Clinical trials to evaluate new drugs and regimens for TB treatment are protracted due to the slow clearance of Mycobacterium tuberculosis (Mtb) infection and the lack of early biomarkers to predict treatment outcome. Advancements in the field of metabolomics make it possible to identify metabolic profiles that correlate with disease states or successful chemotherapy. However, proof-of-concept of this approach has not been provided for a TB-early treatment response biosignature (TB-ETRB). |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| South Africa | 1 | <1% |
| Unknown | 121 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 26% |
| Student > Ph. D. Student | 17 | 14% |
| Student > Master | 13 | 10% |
| Student > Bachelor | 13 | 10% |
| Student > Postgraduate | 5 | 4% |
| Other | 23 | 19% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 27% |
| Agricultural and Biological Sciences | 22 | 18% |
| Immunology and Microbiology | 15 | 12% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Computer Science | 2 | 2% |
| Other | 14 | 11% |
| Unknown | 24 | 19% |
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 15 February 2014.
All research outputs
#17,710,421
of 22,743,667 outputs
Outputs from BMC Infectious Diseases
#5,084
of 7,663 outputs
Outputs of similar age
#220,766
of 306,968 outputs
Outputs of similar age from BMC Infectious Diseases
#98
of 139 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,663 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 27th percentile – i.e., 27% 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 306,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.