You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysing Twitter and web queries for flu trend prediction
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, May 2014
|
| DOI | 10.1186/1742-4682-11-s1-s6 |
| Pubmed ID | |
| Authors |
José Carlos Santos, Sérgio Matos |
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 % |
|---|---|---|
| United States | 4 | 50% |
| Switzerland | 1 | 13% |
| United Kingdom | 1 | 13% |
| France | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Practitioners (doctors, other healthcare professionals) | 3 | 38% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 125 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 18% |
| Researcher | 22 | 17% |
| Student > Master | 20 | 16% |
| Student > Bachelor | 9 | 7% |
| Student > Doctoral Student | 8 | 6% |
| Other | 20 | 16% |
| Unknown | 25 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 36 | 28% |
| Medicine and Dentistry | 19 | 15% |
| Social Sciences | 8 | 6% |
| Nursing and Health Professions | 4 | 3% |
| Engineering | 4 | 3% |
| Other | 21 | 17% |
| Unknown | 35 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 31 March 2015.
All research outputs
#2,052,602
of 25,122,155 outputs
Outputs from Theoretical Biology and Medical Modelling
#24
of 286 outputs
Outputs of similar age
#20,043
of 233,619 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#3
of 15 outputs
Altmetric has tracked 25,122,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 286 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 91% 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 233,619 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.