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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model
|
|---|---|
| Published in |
BMC Infectious Diseases, August 2011
|
| DOI | 10.1186/1471-2334-11-218 |
| Pubmed ID | |
| Authors |
Qiyong Liu, Xiaodong Liu, Baofa Jiang, Weizhong Yang |
| Abstract |
China is a country that is most seriously affected by hemorrhagic fever with renal syndrome (HFRS) with 90% of HFRS cases reported globally. At present, HFRS is getting worse with increasing cases and natural foci in China. Therefore, there is an urgent need for monitoring and predicting HFRS incidence to make the control of HFRS more effective. In this study, we applied a stochastic autoregressive integrated moving average (ARIMA) model with the objective of monitoring and short-term forecasting HFRS incidence in China. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 101 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 14% |
| Student > Master | 13 | 13% |
| Lecturer | 7 | 7% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 7 | 7% |
| Other | 18 | 17% |
| Unknown | 37 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 14% |
| Computer Science | 10 | 10% |
| Economics, Econometrics and Finance | 6 | 6% |
| Mathematics | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 22 | 21% |
| Unknown | 40 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 August 2011.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from BMC Infectious Diseases
#6,597
of 7,804 outputs
Outputs of similar age
#111,902
of 121,568 outputs
Outputs of similar age from BMC Infectious Diseases
#54
of 66 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,804 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 121,568 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.