↓ Skip to main content

Finding needles in haystacks: linking scientific names, reference specimens and molecular data for Fungi

Overview of attention for article published in Database: The Journal of Biological Databases & Curation, June 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 1,054)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
25 X users
facebook
2 Facebook pages

Citations

dimensions_citation
299 Dimensions

Readers on

mendeley
450 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Finding needles in haystacks: linking scientific names, reference specimens and molecular data for Fungi
Published in
Database: The Journal of Biological Databases & Curation, June 2014
DOI 10.1093/database/bau061
Pubmed ID
Authors

Conrad L Schoch, Barbara Robbertse, Vincent Robert, Duong Vu, Gianluigi Cardinali, Laszlo Irinyi, Wieland Meyer, R Henrik Nilsson, Karen Hughes, Andrew N Miller, Paul M Kirk, Kessy Abarenkov, M Catherine Aime, Hiran A Ariyawansa, Martin Bidartondo, Teun Boekhout, Bart Buyck, Qing Cai, Jie Chen, Ana Crespo, Pedro W Crous, Ulrike Damm, Z Wilhelm De Beer, Bryn T M Dentinger, Pradeep K Divakar, Margarita Dueñas, Nicolas Feau, Katerina Fliegerova, Miguel A García, Zai-Wei Ge, Gareth W Griffith, Johannes Z Groenewald, Marizeth Groenewald, Martin Grube, Marieka Gryzenhout, Cécile Gueidan, Liangdong Guo, Sarah Hambleton, Richard Hamelin, Karen Hansen, Valérie Hofstetter, Seung-Beom Hong, Jos Houbraken, Kevin D Hyde, Patrik Inderbitzin, Peter R Johnston, Samantha C Karunarathna, Urmas Kõljalg, Gábor M Kovács, Ekaphan Kraichak, Krisztina Krizsan, Cletus P Kurtzman, Karl-Henrik Larsson, Steven Leavitt, Peter M Letcher, Kare Liimatainen, Jian-Kui Liu, D Jean Lodge, Janet Jennifer Luangsa-ard, H Thorsten Lumbsch, Sajeewa S N Maharachchikumbura, Dimuthu Manamgoda, María P Martín, Andrew M Minnis, Jean-Marc Moncalvo, Giuseppina Mulè, Karen K Nakasone, Tuula Niskanen, Ibai Olariaga, Tamás Papp, Tamás Petkovits, Raquel Pino-Bodas, Martha J Powell, Huzefa A Raja, Dirk Redecker, J M Sarmiento-Ramirez, Keith A Seifert, Bhushan Shrestha, Soili Stenroos, Benjamin Stielow, Sung-Oui Suh, Kazuaki Tanaka, Leho Tedersoo, M Teresa Telleria, Dhanushka Udayanga, Wendy A Untereiner, Javier Diéguez Uribeondo, Krishna V Subbarao, Csaba Vágvölgyi, Cobus Visagie, Kerstin Voigt, Donald M Walker, Bevan S Weir, Michael Weiß, Nalin N Wijayawardene, Michael J Wingfield, J P Xu, Zhu L Yang, Ning Zhang, Wen-Ying Zhuang, Scott Federhen

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 450 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
Brazil 6 1%
Denmark 2 <1%
New Zealand 2 <1%
United Kingdom 2 <1%
Uganda 1 <1%
Ireland 1 <1%
Germany 1 <1%
Colombia 1 <1%
Other 5 1%
Unknown 420 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 106 24%
Student > Ph. D. Student 82 18%
Student > Master 52 12%
Student > Bachelor 34 8%
Student > Doctoral Student 29 6%
Other 77 17%
Unknown 70 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 213 47%
Biochemistry, Genetics and Molecular Biology 60 13%
Environmental Science 35 8%
Immunology and Microbiology 10 2%
Engineering 8 2%
Other 32 7%
Unknown 92 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 31 August 2017.
All research outputs
#1,111,518
of 25,706,302 outputs
Outputs from Database: The Journal of Biological Databases & Curation
#21
of 1,054 outputs
Outputs of similar age
#10,608
of 242,626 outputs
Outputs of similar age from Database: The Journal of Biological Databases & Curation
#1
of 16 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,054 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 98% 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 242,626 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.