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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bayesian maximum entropy-based prediction of the spatiotemporal risk of schistosomiasis in Anhui Province, China
|
|---|---|
| Published in |
BMC Infectious Diseases, November 2021
|
| DOI | 10.1186/s12879-021-06854-6 |
| Pubmed ID | |
| Authors |
Fuju Wang, Xin Liu, Robert Bergquist, Xiao Lv, Yang Liu, Fenghua Gao, Chengming Li, Zhijie Zhang |
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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Student > Doctoral Student | 2 | 11% |
| Unspecified | 1 | 5% |
| Lecturer | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 16% |
| Unspecified | 1 | 5% |
| Environmental Science | 1 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 9 | 47% |
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 29 November 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from BMC Infectious Diseases
#4,583
of 7,804 outputs
Outputs of similar age
#283,632
of 510,086 outputs
Outputs of similar age from BMC Infectious Diseases
#104
of 190 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 33rd percentile – i.e., 33% 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 510,086 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.