| Title |
Spatial and temporal variation and hotspot detection of kala-azar disease in Vaishali district (Bihar), India
|
|---|---|
| Published in |
BMC Infectious Diseases, February 2013
|
| DOI | 10.1186/1471-2334-13-64 |
| Pubmed ID | |
| Authors |
Gouri Sankar Bhunia, Shreekant Kesari, Nandini Chatterjee, Vijay Kumar, Pradeep Das |
| Abstract |
An improved understanding in transmission variation of kala-azar is fundamental to conduct surveillance and implementing disease prevention strategies. This study investigated the spatio-temporal patterns and hotspot detection for reporting kala-azar cases in Vaishali district based on spatial statistical analysis. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 15% |
| United States | 1 | 8% |
| Lebanon | 1 | 8% |
| Unknown | 9 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 92% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 1% |
| France | 1 | <1% |
| Kenya | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 151 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 25% |
| Student > Master | 35 | 22% |
| Researcher | 17 | 11% |
| Student > Bachelor | 16 | 10% |
| Student > Postgraduate | 6 | 4% |
| Other | 20 | 13% |
| Unknown | 26 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 18% |
| Agricultural and Biological Sciences | 23 | 14% |
| Environmental Science | 17 | 11% |
| Social Sciences | 12 | 8% |
| Computer Science | 8 | 5% |
| Other | 39 | 25% |
| Unknown | 32 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 05 April 2016.
All research outputs
#1,959,897
of 22,694,633 outputs
Outputs from BMC Infectious Diseases
#529
of 7,644 outputs
Outputs of similar age
#20,938
of 282,796 outputs
Outputs of similar age from BMC Infectious Diseases
#9
of 170 outputs
Altmetric has tracked 22,694,633 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 7,644 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done particularly well, scoring higher than 93% 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 282,796 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 92% of its contemporaries.
We're also able to compare this research output to 170 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 94% of its contemporaries.