↓ Skip to main content

A generic schema and data collection forms applicable to diverse entomological studies of mosquitoes

Overview of attention for article published in Source Code for Biology and Medicine, March 2016
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#48 of 127)
  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
2 CiteULike
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.
Title
A generic schema and data collection forms applicable to diverse entomological studies of mosquitoes
Published in
Source Code for Biology and Medicine, March 2016
DOI 10.1186/s13029-016-0050-1
Pubmed ID
Authors

Samson S. Kiware, Tanya L. Russell, Zacharia J. Mtema, Alpha D. Malishee, Prosper Chaki, Dickson Lwetoijera, Javan Chanda, Dingani Chinula, Silas Majambere, John E. Gimnig, Thomas A. Smith, Gerry F. Killeen

Abstract

Standardized schemas, databases, and public data repositories are needed for the studies of malaria vectors that encompass a remarkably diverse array of designs and rapidly generate large data volumes, often in resource-limited tropical settings lacking specialized software or informatics support. Data from the majority of mosquito studies conformed to a generic schema, with data collection forms recording the experimental design, sorting of collections, details of sample pooling or subdivision, and additional observations. Generically applicable forms with standardized attribute definitions enabled rigorous, consistent data and sample management with generic software and minimal expertise. Forms use now includes 20 experiments, 8 projects, and 15 users at 3 research and control institutes in 3 African countries, resulting in 11 peer-reviewed publications. We have designed generic data schema that can be used to develop paper or electronic based data collection forms depending on the availability of resources. We have developed paper-based data collection forms that can be used to collect data from majority of entomological studies across multiple study areas using standardized data formats. Data recorded on these forms with standardized formats can be entered and linked with any relational database software. These informatics tools are recommended because they ensure that medical entomologists save time, improve data quality, and data collected and shared across multiple studies is in standardized formats hence increasing research outputs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Researcher 10 19%
Student > Ph. D. Student 8 15%
Lecturer 2 4%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 15 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 22%
Environmental Science 6 11%
Medicine and Dentistry 5 9%
Biochemistry, Genetics and Molecular Biology 3 6%
Computer Science 3 6%
Other 9 17%
Unknown 16 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 May 2022.
All research outputs
#12,657,317
of 22,858,915 outputs
Outputs from Source Code for Biology and Medicine
#48
of 127 outputs
Outputs of similar age
#133,079
of 301,265 outputs
Outputs of similar age from Source Code for Biology and Medicine
#2
of 5 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 61% 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 301,265 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.