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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MUBII-TB-DB: a database of mutations associated with antibiotic resistance in Mycobacterium tuberculosis
|
|---|---|
| Published in |
BMC Bioinformatics, April 2014
|
| DOI | 10.1186/1471-2105-15-107 |
| Pubmed ID | |
| Authors |
Jean-Pierre Flandrois, Gérard Lina, Oana Dumitrescu |
| Abstract |
Tuberculosis is an infectious bacterial disease caused by Mycobacterium tuberculosis. It remains a major health threat, killing over one million people every year worldwide. An early antibiotic therapy is the basis of the treatment, and the emergence and spread of multidrug and extensively drug-resistant mutant strains raise significant challenges. As these bacteria grow very slowly, drug resistance mutations are currently detected using molecular biology techniques. Resistance mutations are identified by sequencing the resistance-linked genes followed by a comparison with the literature data. The only online database is the TB Drug Resistance Mutation database (TBDReaM database); however, it requires mutation detection before use, and its interrogation is complex due to its loose syntax and grammar. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 179 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 37 | 20% |
| Researcher | 30 | 16% |
| Student > Ph. D. Student | 21 | 12% |
| Student > Bachelor | 19 | 10% |
| Other | 9 | 5% |
| Other | 26 | 14% |
| Unknown | 40 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 36 | 20% |
| Agricultural and Biological Sciences | 28 | 15% |
| Medicine and Dentistry | 14 | 8% |
| Immunology and Microbiology | 12 | 7% |
| Computer Science | 11 | 6% |
| Other | 31 | 17% |
| Unknown | 50 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 06 April 2023.
All research outputs
#2,490,585
of 23,923,788 outputs
Outputs from BMC Bioinformatics
#727
of 7,459 outputs
Outputs of similar age
#25,716
of 229,986 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 125 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,459 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 90% 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 229,986 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 88% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.