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PhenoDEF: a corpus for annotating sentences with information of phenotype definitions in biomedical literature

Overview of attention for article published in Journal of Biomedical Semantics, June 2022
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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12 Mendeley
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Title
PhenoDEF: a corpus for annotating sentences with information of phenotype definitions in biomedical literature
Published in
Journal of Biomedical Semantics, June 2022
DOI 10.1186/s13326-022-00272-6
Pubmed ID
Authors

Samar Binkheder, Heng-Yi Wu, Sara K. Quinney, Shijun Zhang, Md. Muntasir Zitu, Chien‐Wei Chiang, Lei Wang, Josette Jones, Lang Li

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Student > Ph. D. Student 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 7 58%
Readers by discipline Count As %
Computer Science 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Agricultural and Biological Sciences 1 8%
Medicine and Dentistry 1 8%
Unknown 7 58%
Attention Score in Context

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 14 June 2022.
All research outputs
#20,159,700
of 22,668,244 outputs
Outputs from Journal of Biomedical Semantics
#335
of 364 outputs
Outputs of similar age
#354,478
of 439,167 outputs
Outputs of similar age from Journal of Biomedical Semantics
#3
of 7 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% 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 439,167 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.