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Global Genetic Cartography of Urban Metagenomes and Anti-Microbial Resistance

Overview of attention for article published in bioRxiv
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
202 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
64 Mendeley
Title
Global Genetic Cartography of Urban Metagenomes and Anti-Microbial Resistance
Published in
bioRxiv
DOI 10.1101/724526
Authors

Danko, David, Bezdan, Daniela, Afshinnekoo, Ebrahim, Ahsanuddin, Sofia, Bhattacharya, Chandrima, Butler, Daniel J, Chng, Kern Rei, Donnellan, Daisy, Hecht, Jochen, Kuchin, Katerina, Karasikov, Mikhail, Lyons, Abigail, Mak, Lauren, Meleshko, Dmitry, Mustafa, Harun, Mutai, Beth, Neches, Russell Y, Ng, Amanda, Nikolayeva, Olga, Nikolayeva, Tatyana, Png, Eileen, Ryon, Krista, Sanchez, Jorge L, Shaaban, Heba, Sierra, Maria A, Thomas, Dominique, Young, Ben, Abudayyeh, Omar O., Alicea, Josue, Bhattacharyya, Malay, Blekhman, Ran, Castro-Nallar, Eduardo, Cañas, Ana M, Chatziefthimiou, Aspassia D, Crawford, Robert W, De Filippis, Francesca, Deng, Youping, Desnues, Christelle, Dias-Neto, Emmanuel, Dybwad, Marius, Elhaik, Eran, Ercolini, Danilo, Frolova, Alina, Gankin, Dennis, Gootenberg, Jonathan S., Graf, Alexandra B, Green, David C, Hajirasouliha, Iman, Hernandez, Mark, Iraola, Gregorio, Jang, Soojin, Kahles, Andre, Kelly, Frank J, Knights, Kaymisha, Kyrpides, Nikos C, Łabaj, Paweł P, Lee, Patrick K H, Leung, Marcus H Y, Ljungdahl, Per, Mason-Buck, Gabriella, McGrath, Ken, Meydan, Cem, Mongodin, Emmanuel F, Moraes, Milton Ozorio, Nagarajan, Niranjan, Nieto-Caballero, Marina, Noushmehr, Houtan, Oliveira, Manuela, Ossowski, Stephan, Osuolale, Olayinka O, Özcan, Orhan, Paez-Espino, David, Rascovan, Nicolas, Richard, Hugues, Rätsch, Gunnar, Schriml, Lynn M, Semmler, Torsten, Sezerman, Osman U, Shi, Leming, Shi, Tieliu, Song, Le Huu, Suzuki, Haruo, Tighe, Scott W, Tong, Xinzhao, Udekwu, Klas I, Ugalde, Juan A, Valentine, Brandon, Vassilev, Dimitar I, Vayndorf, Elena, Velavan, Thirumalaisamy P, Wu, Jun, Zambrano, María M, Zhu, Jifeng, Zhu, Sibo, Mason, Christopher E

Twitter Demographics

The data shown below were collected from the profiles of 202 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Researcher 13 20%
Student > Bachelor 7 11%
Student > Master 6 9%
Other 5 8%
Other 11 17%
Unknown 9 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 27%
Agricultural and Biological Sciences 17 27%
Engineering 3 5%
Computer Science 3 5%
Immunology and Microbiology 3 5%
Other 8 13%
Unknown 13 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 161. 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 13 May 2020.
All research outputs
#121,351
of 15,875,763 outputs
Outputs from bioRxiv
#635
of 96,387 outputs
Outputs of similar age
#3,265
of 264,238 outputs
Outputs of similar age from bioRxiv
#30
of 7,371 outputs
Altmetric has tracked 15,875,763 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 96,387 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done particularly well, scoring higher than 99% 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 264,238 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 98% of its contemporaries.
We're also able to compare this research output to 7,371 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 99% of its contemporaries.