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KAIKObase: An integrated silkworm genome database and data mining tool

Overview of attention for article published in BMC Genomics, October 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
71 Mendeley
citeulike
2 CiteULike
connotea
2 Connotea
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Title
KAIKObase: An integrated silkworm genome database and data mining tool
Published in
BMC Genomics, October 2009
DOI 10.1186/1471-2164-10-486
Pubmed ID
Authors

Michihiko Shimomura, Hiroshi Minami, Yoshitaka Suetsugu, Hajime Ohyanagi, Chikatada Satoh, Baltazar Antonio, Yoshiaki Nagamura, Keiko Kadono-Okuda, Hideyuki Kajiwara, Hideki Sezutsu, Javaregowda Nagaraju, Marian R Goldsmith, Qingyou Xia, Kimiko Yamamoto, Kazuei Mita

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
United States 1 1%
Sweden 1 1%
Brazil 1 1%
Unknown 67 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 31%
Student > Ph. D. Student 13 18%
Professor > Associate Professor 6 8%
Professor 4 6%
Student > Master 4 6%
Other 11 15%
Unknown 11 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 49%
Biochemistry, Genetics and Molecular Biology 10 14%
Medicine and Dentistry 3 4%
Computer Science 3 4%
Unspecified 2 3%
Other 5 7%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 March 2017.
All research outputs
#4,761,657
of 23,039,416 outputs
Outputs from BMC Genomics
#2,018
of 10,697 outputs
Outputs of similar age
#18,768
of 94,490 outputs
Outputs of similar age from BMC Genomics
#7
of 35 outputs
Altmetric has tracked 23,039,416 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 94,490 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 73% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.