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EVpedia: a community web portal for extracellular vesicles research

Overview of attention for article published in Bioinformatics, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
7 X users
patent
1 patent
weibo
1 weibo user
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
316 Dimensions

Readers on

mendeley
366 Mendeley
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Title
EVpedia: a community web portal for extracellular vesicles research
Published in
Bioinformatics, November 2014
DOI 10.1093/bioinformatics/btu741
Pubmed ID
Authors

Dae-Kyum Kim, Jaewook Lee, Sae Rom Kim, Dong-Sic Choi, Yae Jin Yoon, Ji Hyun Kim, Gyeongyun Go, Dinh Nhung, Kahye Hong, Su Chul Jang, Si-Hyun Kim, Kyong-Su Park, Oh Youn Kim, Hyun Taek Park, Ji Hye Seo, Elena Aikawa, Monika Baj-Krzyworzeka, Bas W M van Balkom, Mattias Belting, Lionel Blanc, Vincent Bond, Antonella Bongiovanni, Francesc E Borràs, Luc Buée, Edit I Buzás, Lesley Cheng, Aled Clayton, Emanuele Cocucci, Charles S Dela Cruz, Dominic M Desiderio, Dolores Di Vizio, Karin Ekström, Juan M Falcon-Perez, Chris Gardiner, Bernd Giebel, David W Greening, Julia Christina Gross, Dwijendra Gupta, An Hendrix, Andrew F Hill, Michelle M Hill, Esther Nolte-'t Hoen, Do Won Hwang, Jameel Inal, Medicharla V Jagannadham, Muthuvel Jayachandran, Young-Koo Jee, Malene Jørgensen, Kwang Pyo Kim, Yoon-Keun Kim, Thomas Kislinger, Cecilia Lässer, Dong Soo Lee, Hakmo Lee, Johannes van Leeuwen, Thomas Lener, Ming-Lin Liu, Jan Lötvall, Antonio Marcilla, Suresh Mathivanan, Andreas Möller, Jess Morhayim, François Mullier, Irina Nazarenko, Rienk Nieuwland, Diana N Nunes, Ken Pang, Jaesung Park, Tushar Patel, Gabriella Pocsfalvi, Hernando Del Portillo, Ulrich Putz, Marcel I Ramirez, Marcio L Rodrigues, Tae-Young Roh, Felix Royo, Susmita Sahoo, Raymond Schiffelers, Shivani Sharma, Pia Siljander, Richard J Simpson, Carolina Soekmadji, Philip Stahl, Allan Stensballe, Ewa Stępień, Hidetoshi Tahara, Arne Trummer, Hadi Valadi, Laura J Vella, Sun Nyunt Wai, Kenneth Witwer, María Yáñez-Mó, Hyewon Youn, Reinhard Zeidler, Yong Song Gho

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Denmark 2 <1%
India 1 <1%
Netherlands 1 <1%
Belgium 1 <1%
Unknown 359 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 73 20%
Student > Ph. D. Student 66 18%
Student > Master 50 14%
Student > Doctoral Student 20 5%
Professor > Associate Professor 19 5%
Other 70 19%
Unknown 68 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 99 27%
Agricultural and Biological Sciences 69 19%
Medicine and Dentistry 49 13%
Immunology and Microbiology 13 4%
Pharmacology, Toxicology and Pharmaceutical Science 11 3%
Other 44 12%
Unknown 81 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 21 October 2021.
All research outputs
#4,244,876
of 25,837,817 outputs
Outputs from Bioinformatics
#3,740
of 12,966 outputs
Outputs of similar age
#46,415
of 275,795 outputs
Outputs of similar age from Bioinformatics
#69
of 225 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,966 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 70% 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 275,795 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 225 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 68% of its contemporaries.