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Mendeley readers
Attention Score in Context
| Chapter title |
Using Web and social media for influenza surveillance.
|
|---|---|
| Chapter number | 61 |
| Book title |
Advances in Computational Biology
|
| Published in |
Advances in experimental medicine and biology, September 2010
|
| DOI | 10.1007/978-1-4419-5913-3_61 |
| Pubmed ID | |
| Book ISBNs |
978-1-4419-5912-6, 978-1-4419-5913-3
|
| Authors |
Corley CD, Cook DJ, Mikler AR, Singh KP, Courtney D. Corley, Diane J. Cook, Armin R. Mikler, Karan P. Singh |
| Abstract |
Analysis of Google influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Centers for Disease Control (CDC) and Prevention seasonal ILI reporting data. Web and social media provide another resource to detect increases in ILI. This paper evaluates trends in blog posts that discuss influenza. Our key finding is that from 5th October 2008 to 31st January 2009, a high correlation exists between the frequency of posts, containing influenza keywords, per week and CDC influenza-like-illness surveillance data. |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 2 | 2% |
| United States | 2 | 2% |
| Malaysia | 1 | 1% |
| Unknown | 76 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Researcher | 7 | 9% |
| Professor > Associate Professor | 6 | 7% |
| Other | 21 | 26% |
| Unknown | 13 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 23% |
| Computer Science | 19 | 23% |
| Social Sciences | 11 | 14% |
| Arts and Humanities | 4 | 5% |
| Psychology | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 17 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 12 December 2011.
All research outputs
#1,677,842
of 22,705,019 outputs
Outputs from Advances in experimental medicine and biology
#218
of 4,906 outputs
Outputs of similar age
#6,058
of 97,224 outputs
Outputs of similar age from Advances in experimental medicine and biology
#1
of 12 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,906 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 95% 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 97,224 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 93% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.