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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating Potential Infection Transmission Routes in Hospital Wards Using Wearable Proximity Sensors
|
|---|---|
| Published in |
PLOS ONE, September 2013
|
| DOI | 10.1371/journal.pone.0073970 |
| Pubmed ID | |
| Authors |
Philippe Vanhems, Alain Barrat, Ciro Cattuto, Jean-François Pinton, Nagham Khanafer, Corinne Régis, Byeul-a Kim, Brigitte Comte, Nicolas Voirin |
| Abstract |
Contacts between patients, patients and health care workers (HCWs) and among HCWs represent one of the important routes of transmission of hospital-acquired infections (HAI). A detailed description and quantification of contacts in hospitals provides key information for HAIs epidemiology and for the design and validation of control measures. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| United States | 2 | 25% |
| Canada | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| France | 2 | 1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 164 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 24% |
| Researcher | 31 | 18% |
| Student > Master | 18 | 10% |
| Student > Doctoral Student | 11 | 6% |
| Other | 8 | 5% |
| Other | 36 | 21% |
| Unknown | 27 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 14% |
| Physics and Astronomy | 18 | 10% |
| Agricultural and Biological Sciences | 17 | 10% |
| Medicine and Dentistry | 16 | 9% |
| Social Sciences | 13 | 8% |
| Other | 47 | 27% |
| Unknown | 37 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 30 August 2022.
All research outputs
#4,450,430
of 24,350,163 outputs
Outputs from PLOS ONE
#71,584
of 209,930 outputs
Outputs of similar age
#37,383
of 203,368 outputs
Outputs of similar age from PLOS ONE
#1,221
of 4,964 outputs
Altmetric has tracked 24,350,163 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 209,930 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 65% 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 203,368 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 81% of its contemporaries.
We're also able to compare this research output to 4,964 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.