# Discrete p-robust $$\varvec{H}({{\mathrm{div}}})… Overview of attention for article published in Calcolo, January 2017 Altmetric Badge ## Mentioned by twitter 2 tweeters ## Citations dimensions_citation 4 Dimensions ## Readers on mendeley 2 Mendeley Title Discrete p-robust$$\varvec{H}({{\mathrm{div}}})$$H ( div ) -liftings and a posteriori estimates for elliptic problems with$$H^{-1} H - 1 source terms Calcolo, January 2017 10.1007/s10092-017-0217-4 Alexandre Ern, Iain Smears, Martin Vohralík

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

### Geographical breakdown

Country Count As %
Unknown 2 100%

### Demographic breakdown

Readers by professional status Count As %
Student > Master 3 150%
Professor 1 50%
Readers by discipline Count As %
Mathematics 3 150%
Engineering 1 50%

## Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 February 2018.
All research outputs
#9,982,853
of 12,470,921 outputs
Outputs from Calcolo
#20
of 29 outputs
Outputs of similar age
#187,309
of 266,456 outputs
Outputs of similar age from Calcolo
#1
of 2 outputs
Altmetric has tracked 12,470,921 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29 research outputs from this source. They receive a mean Attention Score of 1.7. This one scored the same or higher as 9 of them.
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 266,456 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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