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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine
|
|---|---|
| Published in |
Frontiers in Microbiology, March 2016
|
| DOI | 10.3389/fmicb.2016.00294 |
| Pubmed ID | |
| Authors |
Alexander Bedenkov, Vitaly Shpinev, Nikolay Suvorov, Evgeny Sokolov, Evgeniy Riabenko |
| Abstract |
The World Health Organization recognizes the antibiotic resistance problem as a major health threat in the twenty first century. The paper describes an effort to fight it undertaken at the verge of two industries-healthcare and Data Science. One of the major difficulties in monitoring antibiotic resistance is low availability of comprehensive research data. Our aim is to develop a nation-wide antibiotic resistance database using Internet search and data processing algorithms using Russian language publications. An interdisciplinary team built an intelligent Internet search filter to locate all publicly available research data on antibiotic resistance in Russia and Eurasia countries, extracted it, and collated it for analysis. A database was constructed using data from 850 original studies conducted at 153 locations in 12 countries between 1992 and 2014. The studies contained susceptibility and resistance rates of 156 microorganisms to 157 antibiotic drugs. The applied search methodology was highly robust in that it yielded search precision of 58 vs. 20% in a typical Internet search. It allowed finding and collating within the database the following data items (among many others): publication details including title, source, date, authors, etc.; study details: time period, locations, research organization, therapy area, etc.; microorganisms and antibiotic drugs included in the study along with prevalence values of resistant and susceptible strains, and numbers of isolates. The next stage in project development will try to validate the data by matching it to major benchmark studies; in addition, a panel of experts will be convened to evaluate the outcomes. The work provides a supplementary tool to national surveillance systems in antibiotic resistance, and consolidates fragmented research data available for 12 countries for a period of more than 20 years. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 17% |
| United Kingdom | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 25% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 25% |
| Social Sciences | 4 | 11% |
| Agricultural and Biological Sciences | 4 | 11% |
| Business, Management and Accounting | 2 | 6% |
| Chemistry | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 8 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 March 2016.
All research outputs
#7,418,346
of 22,854,458 outputs
Outputs from Frontiers in Microbiology
#8,033
of 24,862 outputs
Outputs of similar age
#105,333
of 299,378 outputs
Outputs of similar age from Frontiers in Microbiology
#213
of 549 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 24,862 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 67% 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 299,378 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 549 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.