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Big data in wildlife research: remote web-based monitoring of hibernating black bears

Overview of attention for article published in BMC Physiology, December 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Big data in wildlife research: remote web-based monitoring of hibernating black bears
Published in
BMC Physiology, December 2014
DOI 10.1186/s12899-014-0013-1
Pubmed ID
Authors

Timothy G Laske, David L Garshelis, Paul A Iaizzo

Abstract

BackgroundNumerous innovations for the management and collection of ¿big data¿ have arisen in the field of medicine, including implantable computers and sensors, wireless data transmission, and web-based repositories for collecting and organizing information. Recently, human clinical devices have been deployed in captive and free-ranging wildlife to aid in the characterization of both normal physiology and the interaction of animals with their environment, including reactions to humans. Although these devices have had a significant impact on the types and quantities of information that can be collected, their utility has been limited by internal memory capacities, the efforts required to extract and analyze information, and by the necessity to handle the animals in order to retrieve stored data.ResultsWe surgically implanted miniaturized cardiac monitors (1.2 cc, Reveal LINQ¿, Medtronic Inc.), a newly developed human clinical system, into hibernating wild American black bears (N¿=¿6). These devices include wireless capabilities, which enabled frequent transmissions of detailed physiological data from bears in their remote den sites to a web-based data storage and management system. Solar and battery powered telemetry stations transmitted detailed physiological data over the cellular network during the winter months. The system provided the transfer of large quantities of data in near-real time. Observations included changes in heart rhythms associated with birthing and caring for cubs, and in all bears, long periods without heart beats (up to 16 seconds) occurred during each respiratory cycle.ConclusionsFor the first time, detailed physiological data were successfully transferred from an animal in the wild to a web-based data collection and management system, overcoming previous limitations on the quantities of data that could be transferred. The system provides an opportunity to detect unusual events as they are occurring, enabling investigation of the animal and site shortly afterwards. Although the current study was limited to bears in winter dens, we anticipate that future systems will transmit data from implantable monitors to wearable transmitters, allowing for big data transfer on non-stationary animals.

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The data shown below were collected from the profiles of 4 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 9 15%
Student > Bachelor 8 13%
Student > Master 6 10%
Other 4 7%
Other 9 15%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 18%
Medicine and Dentistry 6 10%
Engineering 5 8%
Biochemistry, Genetics and Molecular Biology 4 7%
Computer Science 4 7%
Other 15 25%
Unknown 15 25%
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 11 December 2014.
All research outputs
#13,259,840
of 23,881,329 outputs
Outputs from BMC Physiology
#45
of 78 outputs
Outputs of similar age
#171,505
of 366,595 outputs
Outputs of similar age from BMC Physiology
#3
of 8 outputs
Altmetric has tracked 23,881,329 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 78 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 53% 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 366,595 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 52% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.