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Artificial neural network models for prediction of intestinal permeability of oligopeptides

Overview of attention for article published in BMC Bioinformatics, July 2007
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Mentioned by

policy
1 policy source

Citations

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31 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
1 CiteULike
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Title
Artificial neural network models for prediction of intestinal permeability of oligopeptides
Published in
BMC Bioinformatics, July 2007
DOI 10.1186/1471-2105-8-245
Pubmed ID
Authors

Eunkyoung Jung, Junhyoung Kim, Minkyoung Kim, Dong Hyun Jung, Hokyoung Rhee, Jae-Min Shin, Kihang Choi, Sang-Kee Kang, Min-Kook Kim, Cheol-Heui Yun, Yun-Jaie Choi, Seung-Hoon Choi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Researcher 7 18%
Student > Bachelor 4 10%
Professor 3 8%
Student > Master 2 5%
Other 4 10%
Unknown 9 23%
Readers by discipline Count As %
Chemistry 6 15%
Agricultural and Biological Sciences 5 13%
Engineering 5 13%
Medicine and Dentistry 5 13%
Computer Science 4 10%
Other 6 15%
Unknown 9 23%
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 12 January 2012.
All research outputs
#7,533,912
of 22,986,950 outputs
Outputs from BMC Bioinformatics
#3,036
of 7,309 outputs
Outputs of similar age
#24,655
of 68,395 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 44 outputs
Altmetric has tracked 22,986,950 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 7,309 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 68,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.