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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Roadmap on Data-Centric Materials Science
|
|---|---|
| Published in |
Modelling & Simulation in Materials Science & Engineering, May 2024
|
| DOI | 10.1088/1361-651x/ad4d0d |
| Authors |
Stefan Bauer, Peter Benner, Tristan Bereau, Volker Blum, Mario Boley, Christian Carbogno, Richard Catlow, Gerhard Dehm, Sebastian Eibl, Ralph Ernstorfer, Ádám Fekete, Lucas Foppa, Peter Fratzl, Christoph Freysoldt, Baptiste Gault, Luca M. Ghiringhelli, Sajal K. Giri, Anton Gladyshev, Pawan Goyal, Jason Hattrick-Simpers, Lara Kabalan, Petr Karpov, Mohammad S. Khorrami, C T Koch, Sebastian Kokott, Thomas Kosch, Igor Kowalec, Kurt Kremer, Andreas Leitherer, YUE LI, Christian H. Liebscher, Andrew Logsdail, Zhongwei Lu, Felix Luong, Andreas Marek, Florian Merz, Jaber Rezaei Mianroodi, Joerg Neugebauer, Zongrui Pei, Thomas A. R. Purcell, Dierk Raabe, Markus Rampp, Mariana Rossi, Jan M. Michael Rost, James E. Saal, Ulf Saalmann, Kasturi Narasimha Sasidhar, Alaukik Saxena, Luigi Sbailo, Markus Scheidgen, Marcel Schloz, Daniel Schmidt, Simon Teshuva, Annette Trunschke, Ye Wei, Gerhard Weikum, R. Patrick Xian, Yi Yao, Junqi Yin, Meng Zhao, Matthias Scheffler |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 60% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 4 | 80% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 June 2024.
All research outputs
#7,389,854
of 26,080,506 outputs
Outputs from Modelling & Simulation in Materials Science & Engineering
#21
of 265 outputs
Outputs of similar age
#56,689
of 211,320 outputs
Outputs of similar age from Modelling & Simulation in Materials Science & Engineering
#1
of 3 outputs
Altmetric has tracked 26,080,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 265 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done particularly well, scoring higher than 92% 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 211,320 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 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them