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Mendeley readers
Attention Score in Context
| Title |
Investigating the metabolic capabilities of Mycobacterium tuberculosis H37Rv using the in silico strain iNJ 661 and proposing alternative drug targets
|
|---|---|
| Published in |
BMC Systems Biology, June 2007
|
| DOI | 10.1186/1752-0509-1-26 |
| Pubmed ID | |
| Authors |
Neema Jamshidi, Bernhard Ø Palsson |
| Abstract |
Mycobacterium tuberculosis continues to be a major pathogen in the third world, killing almost 2 million people a year by the most recent estimates. Even in industrialized countries, the emergence of multi-drug resistant (MDR) strains of tuberculosis hails the need to develop additional medications for treatment. Many of the drugs used for treatment of tuberculosis target metabolic enzymes. Genome-scale models can be used for analysis, discovery, and as hypothesis generating tools, which will hopefully assist the rational drug development process. These models need to be able to assimilate data from large datasets and analyze them. |
Mendeley readers
The data shown below were compiled from readership statistics for 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 4% |
| Germany | 5 | 2% |
| Switzerland | 2 | <1% |
| Portugal | 2 | <1% |
| Russia | 2 | <1% |
| Netherlands | 1 | <1% |
| Gambia | 1 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 262 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 26% |
| Student > Master | 49 | 17% |
| Researcher | 41 | 14% |
| Student > Bachelor | 34 | 11% |
| Professor > Associate Professor | 17 | 6% |
| Other | 49 | 17% |
| Unknown | 29 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 121 | 41% |
| Biochemistry, Genetics and Molecular Biology | 44 | 15% |
| Engineering | 23 | 8% |
| Computer Science | 22 | 7% |
| Medicine and Dentistry | 8 | 3% |
| Other | 36 | 12% |
| Unknown | 42 | 14% |
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 17 April 2018.
All research outputs
#7,453,350
of 22,786,087 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#24,847
of 70,410 outputs
Outputs of similar age from BMC Systems Biology
#1
of 9 outputs
Altmetric has tracked 22,786,087 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 70,410 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them