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ECCParaCorp: a cross-lingual parallel corpus towards cancer education, dissemination and application

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
26 Mendeley
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Title
ECCParaCorp: a cross-lingual parallel corpus towards cancer education, dissemination and application
Published in
BMC Medical Informatics and Decision Making, July 2020
DOI 10.1186/s12911-020-1116-1
Pubmed ID
Authors

Hetong Ma, Feihong Yang, Jiansong Ren, Ni Li, Min Dai, Xuwen Wang, An Fang, Jiao Li, Qing Qian, Jie He

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Student > Ph. D. Student 3 12%
Professor 2 8%
Student > Doctoral Student 1 4%
Unspecified 1 4%
Other 3 12%
Unknown 11 42%
Readers by discipline Count As %
Nursing and Health Professions 3 12%
Medicine and Dentistry 2 8%
Neuroscience 2 8%
Business, Management and Accounting 1 4%
Computer Science 1 4%
Other 5 19%
Unknown 12 46%

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 12 July 2020.
All research outputs
#14,543,507
of 18,209,496 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,334
of 1,651 outputs
Outputs of similar age
#219,818
of 296,386 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 9 outputs
Altmetric has tracked 18,209,496 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,651 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 7th percentile – i.e., 7% 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 296,386 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 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.